From 1f0b885906dc1fbdff72aed0acc8475839888245 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 20:27:05 +0200 Subject: [PATCH 01/20] update version number and news for next dev-cycle --- DESCRIPTION | 2 +- NEWS.md | 7 ++++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 781d39e..49591b9 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: bootGOF Title: Bootstrap Based Goodness-of-Fit Tests -Version: 0.1.0 +Version: 0.1.0.9000 Authors@R: c(person(given = "Marsel", family = "Scheer", diff --git a/NEWS.md b/NEWS.md index 748f89f..3df1c22 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,8 @@ +Version 0.1.0.9000 +========================= + +* placeholder for next development cycle + Version 0.1.0 ========================= @@ -5,4 +10,4 @@ Version 0.1.0 * classical linear models and GLMs can be tested out of the box * interfaces defined and documented in order to - reuse the resampling schemes for other models \ No newline at end of file + reuse the resampling schemes for other models From 5df5eeb231980c5a27715de988e040de16a6f776 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 20:36:49 +0200 Subject: [PATCH 02/20] all tests are realized with tinytest hence testthat and devtools are not necessary anymore --- DESCRIPTION | 2 - renv.lock | 174 ++++-------------------------------- tests/testthat.R | 4 - tests/testthat/test-dummy.R | 3 - 4 files changed, 17 insertions(+), 166 deletions(-) delete mode 100644 tests/testthat.R delete mode 100644 tests/testthat/test-dummy.R diff --git a/DESCRIPTION b/DESCRIPTION index 49591b9..9ca4f0a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -32,11 +32,9 @@ RoxygenNote: 7.1.0 URL: https://github.com/MarselScheer/bootGOF BugReports: https://github.com/MarselScheer/bootGOF/issues Suggests: - testthat, covr, roxygen2, pkgdown, - devtools, tinytest, mockery, knitr, diff --git a/renv.lock b/renv.lock index 2d5aa26..44d3eb5 100644 --- a/renv.lock +++ b/renv.lock @@ -9,20 +9,6 @@ ] }, "Packages": { - "BH": { - "Package": "BH", - "Version": "1.72.0-3", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "8f9ce74c6417d61f0782cbae5fd2b7b0" - }, - "DT": { - "Package": "DT", - "Version": "0.14", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "a3580ce0309c94d061c23b0afb4accbd" - }, "MASS": { "Package": "MASS", "Version": "7.3-51.6", @@ -44,13 +30,6 @@ "Repository": "CRAN", "Hash": "e652f23d8b1807cc975c51410d05b72f" }, - "XML": { - "Package": "XML", - "Version": "3.99-0.5", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "408d42d1359f2a84d377c1f7f0568624" - }, "askpass": { "Package": "askpass", "Version": "1.1", @@ -104,7 +83,7 @@ "Package": "checkmate", "Version": "2.0.0", "Source": "Repository", - "Repository": "RSPM", + "Repository": "CRAN", "Hash": "a667800d5f0350371bedeb8b8b950289" }, "cli": { @@ -114,13 +93,6 @@ "Repository": "CRAN", "Hash": "ff0becff7bfdfe3f75d29aff8f3172dd" }, - "clipr": { - "Package": "clipr", - "Version": "0.7.0", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "08cf4045c149a0f0eaf405324c7495bd" - }, "commonmark": { "Package": "commonmark", "Version": "1.7", @@ -142,13 +114,6 @@ "Repository": "CRAN", "Hash": "0d57bc8e27b7ba9e45dba825ebc0de6b" }, - "crosstalk": { - "Package": "crosstalk", - "Version": "1.1.0.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "ae55f5d7c02f0ab43c58dd050694f2b4" - }, "curl": { "Package": "curl", "Version": "4.3", @@ -163,13 +128,6 @@ "Repository": "CRAN", "Hash": "6c8fe8fa26a23b79949375d372c7b395" }, - "devtools": { - "Package": "devtools", - "Version": "2.3.0", - "Source": "Repository", - "Repository": "RSPM", - "Hash": "d55dae3aa077e25128115a81e974f318" - }, "digest": { "Package": "digest", "Version": "0.6.25", @@ -205,13 +163,6 @@ "Repository": "CRAN", "Hash": "8c04112383ca1988e96f429255f95675" }, - "gh": { - "Package": "gh", - "Version": "1.1.0", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "89ea5998938d1ad55f035c8a86f96b74" - }, "git2r": { "Package": "git2r", "Version": "0.27.1", @@ -226,13 +177,6 @@ "Repository": "CRAN", "Hash": "f43e0d5e85ccb0a4045670c0607ee504" }, - "grImport": { - "Package": "grImport", - "Version": "0.9-3", - "Source": "Repository", - "Repository": "RSPM", - "Hash": "510ede2a36dd1086c2bdc81715ad449e" - }, "highlight": { "Package": "highlight", "Version": "0.5.0", @@ -254,13 +198,6 @@ "Repository": "CRAN", "Hash": "7d651b7131794fe007b1ad6f21aaa401" }, - "htmlwidgets": { - "Package": "htmlwidgets", - "Version": "1.5.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "41bace23583fbc25089edae324de2dc3" - }, "httr": { "Package": "httr", "Version": "1.4.1", @@ -268,13 +205,6 @@ "Repository": "CRAN", "Hash": "7146fea4685b4252ebf478978c75f597" }, - "ini": { - "Package": "ini", - "Version": "0.3.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "6154ec2223172bce8162d4153cda21f7" - }, "jsonlite": { "Package": "jsonlite", "Version": "1.7.0", @@ -289,13 +219,6 @@ "Repository": "CRAN", "Hash": "e5f4c41c17df8cdf7b0df12117c0d99a" }, - "later": { - "Package": "later", - "Version": "1.1.0.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "d0a62b247165aabf397fded504660d8a" - }, "lazyeval": { "Package": "lazyeval", "Version": "0.2.2", @@ -338,11 +261,18 @@ "Repository": "CRAN", "Hash": "e87a35ec73b157552814869f45a63aa3" }, + "minpack.lm": { + "Package": "minpack.lm", + "Version": "1.2-1", + "Source": "Repository", + "Repository": "CRAN", + "Hash": "a9ba91cecfe19eb0558a494ebd4e1f1d" + }, "mockery": { "Package": "mockery", "Version": "0.4.2", "Source": "Repository", - "Repository": "RSPM", + "Repository": "CRAN", "Hash": "313fa6504824ba5aab9308412135fb5f" }, "openssl": { @@ -387,25 +317,6 @@ "Repository": "CRAN", "Hash": "b6b150cd4709e0c0c9b5d51ac4376282" }, - "plantuml": { - "Package": "plantuml", - "Version": "0.4", - "Source": "GitHub", - "RemoteType": "github", - "RemoteHost": "api.github.com", - "RemoteUsername": "rkrug", - "RemoteRepo": "plantuml", - "RemoteRef": "master", - "RemoteSha": "4cc45be014152017b840462a2f814e5edb2cb07f", - "Hash": "bef6cceb744345f83e43c6e98a3cf528" - }, - "png": { - "Package": "png", - "Version": "0.1-7", - "Source": "Repository", - "Repository": "RSPM", - "Hash": "03b7076c234cb3331288919983326c55" - }, "praise": { "Package": "praise", "Version": "1.0.0", @@ -427,13 +338,6 @@ "Repository": "CRAN", "Hash": "f4f13345fcb00c51ace12f65dd18749f" }, - "promises": { - "Package": "promises", - "Version": "1.1.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "a8730dcbdd19f9047774909f0ec214a4" - }, "ps": { "Package": "ps", "Version": "1.3.3", @@ -448,13 +352,6 @@ "Repository": "CRAN", "Hash": "97def703420c8ab10d8f0e6c72101e02" }, - "rcmdcheck": { - "Package": "rcmdcheck", - "Version": "1.3.3", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "ed95895886dab6d2a584da45503555da" - }, "rematch2": { "Package": "rematch2", "Version": "2.1.2", @@ -462,19 +359,10 @@ "Repository": "CRAN", "Hash": "76c9e04c712a05848ae7a23d2f170a40" }, - "remotes": { - "Package": "remotes", - "Version": "2.2.0", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "430a0908aee75b1fcba0e62857cab0ce" - }, "renv": { "Package": "renv", - "Version": "0.11.0", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "1c3ef87cbb81c23ac96797781ec7aecc" + "Version": "0.14.0", + "Source": "Repository" }, "rex": { "Package": "rex", @@ -485,10 +373,10 @@ }, "rlang": { "Package": "rlang", - "Version": "0.4.7", + "Version": "0.4.10", "Source": "Repository", "Repository": "CRAN", - "Hash": "c06d2a6887f4b414f8e927afd9ee976a" + "Hash": "599df23c40a4fce9c7b4764f28c37857" }, "rmarkdown": { "Package": "rmarkdown", @@ -501,7 +389,7 @@ "Package": "roxygen2", "Version": "7.1.0", "Source": "Repository", - "Repository": "RSPM", + "Repository": "CRAN", "Hash": "f173062c04dc8e91d7376d914df6efee" }, "rprojroot": { @@ -518,20 +406,6 @@ "Repository": "CRAN", "Hash": "33a5b27a03da82ac4b1d43268f80088a" }, - "rversions": { - "Package": "rversions", - "Version": "2.0.2", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "0ec41191f744d0f5afad8c6f35cc36e4" - }, - "sessioninfo": { - "Package": "sessioninfo", - "Version": "1.1.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "308013098befe37484df72c39cf90d6e" - }, "stringi": { "Package": "stringi", "Version": "1.4.6", @@ -571,7 +445,7 @@ "Package": "tinytest", "Version": "1.2.1", "Source": "Repository", - "Repository": "RSPM", + "Repository": "CRAN", "Hash": "af2182641bc7c5b954f1b6bb56583b45" }, "tinytex": { @@ -581,13 +455,6 @@ "Repository": "CRAN", "Hash": "8f24b65b86f4d6d7b1e2d8a4ce2c02fb" }, - "usethis": { - "Package": "usethis", - "Version": "1.6.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "e1985f5a9985fea2e338fa7eb99018ca" - }, "utf8": { "Package": "utf8", "Version": "1.1.4", @@ -611,10 +478,10 @@ }, "withr": { "Package": "withr", - "Version": "2.2.0", + "Version": "2.4.1", "Source": "Repository", "Repository": "CRAN", - "Hash": "ecd17882a0b4419545691e095b74ee89" + "Hash": "caf4781c674ffa549a4676d2d77b13cc" }, "xfun": { "Package": "xfun", @@ -630,13 +497,6 @@ "Repository": "CRAN", "Hash": "d4d71a75dd3ea9eb5fa28cc21f9585e2" }, - "xopen": { - "Package": "xopen", - "Version": "1.0.0", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "6c85f015dee9cc7710ddd20f86881f58" - }, "yaml": { "Package": "yaml", "Version": "2.2.1", diff --git a/tests/testthat.R b/tests/testthat.R deleted file mode 100644 index 4ea3f11..0000000 --- a/tests/testthat.R +++ /dev/null @@ -1,4 +0,0 @@ -library(testthat) -library(bootGOF) - -test_check("bootGOF") diff --git a/tests/testthat/test-dummy.R b/tests/testthat/test-dummy.R deleted file mode 100644 index 8849056..0000000 --- a/tests/testthat/test-dummy.R +++ /dev/null @@ -1,3 +0,0 @@ -test_that("multiplication works", { - expect_equal(2 * 2, 4) -}) From f9c6c6cb3f5d9d27f4deb8730cea97269431d362 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 20:58:16 +0200 Subject: [PATCH 03/20] add Makefile and LICENSE --- .Rbuildignore | 16 +- .gitignore | 45 +++- LICENSE | 674 ++++++++++++++++++++++++++++++++++++++++++++++++++ Makefile | 36 +++ 4 files changed, 762 insertions(+), 9 deletions(-) create mode 100644 LICENSE create mode 100644 Makefile diff --git a/.Rbuildignore b/.Rbuildignore index 2666e2b..53b253f 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,10 +1,12 @@ +^.*\.Rproj$ +^\.Rproj\.user$ ^renv$ ^renv\.lock$ -^bootGOF\.Rproj$ -^\.Rproj\.user$ -^_pkgdown\.yml$ -^docs$ -^pkgdown$ -^docker$ -^README\.Rmd$ +README.Rmd +Makefile +LICENSE design.plantuml +^\.github$ +_pkgdown.yml +docs/ +docker/ diff --git a/.gitignore b/.gitignore index c833a2c..9fe2edb 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,46 @@ -.Rproj.user +# History files .Rhistory +.Rapp.history + +# Session Data files .RData + +# User-specific files .Ruserdata -inst/doc + +# Example code in package build process +*-Ex.R + +# Output files from R CMD build +/*.tar.gz + +# Output files from R CMD check +/*.Rcheck/ + +# RStudio files +.Rproj.user/ + +# produced vignettes +vignettes/*.html +vignettes/*.pdf + +# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3 +.httr-oauth + +# knitr and R markdown default cache directories +*_cache/ +/cache/ + +# Temporary files created by R markdown +*.utf8.md +*.knit.md + +# R Environment Variables +.Renviron + +# Roxygen generated files +NAMESPACE +man/ + +# pkgdown generated files +docs/ \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..f288702 --- /dev/null +++ b/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/Makefile b/Makefile new file mode 100644 index 0000000..651ef8b --- /dev/null +++ b/Makefile @@ -0,0 +1,36 @@ +SHELL := /bin/bash +PKGNAME=bootGOF + +help: + -@ echo "R-cmd-check: Builds and checks (--as-cran) the Rpkg" + -@ echo "test: Executes all unit-tests" + -@ echo "lint: Starts linting" + -@ echo "README: Builds README.md" + -@ echo "pkgdown: Builds pkgdown site" + +NAMESPACE: R/* + Rscript -e "roxygen2::roxygenize()" + +R-cmd-check: NAMESPACE + R CMD build . + R CMD check --as-cran --no-manual $(PKGNAME)*.tar.gz + make clean-pkg-build-file + make clean-cmd-check-files + +clean-pkg-build-file: + rm $(PKGNAME)*tar.gz + +clean-cmd-check-files: + rm -rf $(PKGNAME).Rcheck + +test: NAMESPACE + Rscript -e "pkgload::load_all(); tinytest::test_all()" + +lint: + Rscript -e "pkgload::load_all(); lintr::lint_package()" + +pkgdown: NAMESPACE + Rscript -e "library(pkgdown); pkgdown::build_site()" + +README: + Rscript -e "pkgload::load_all(); rmarkdown::render(input='README.Rmd', output_format='md_document')" From e34278cae6e32837a8627f10a1bdda590a2653b7 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 21:32:27 +0200 Subject: [PATCH 04/20] correct linting errors --- Makefile | 2 +- R/GOF_model.R | 15 ++-- R/GOF_model_info_extractor.R | 6 +- R/GOF_model_resample.R | 8 +- R/GOF_model_simulator.R | 14 +-- R/GOF_model_test.R | 24 ++--- R/GOF_model_trainer.R | 6 +- R/Rn1_statistic.R | 12 +-- inst/tinytest/test_GOF_model.R | 87 ++++++++++--------- inst/tinytest/test_GOF_model_info_extractor.R | 12 +-- inst/tinytest/test_GOF_model_resample.R | 7 +- inst/tinytest/test_GOF_model_simulator.R | 27 +++--- inst/tinytest/test_GOF_model_test.R | 45 +++++----- inst/tinytest/test_GOF_model_trainer.R | 10 +-- inst/tinytest/test_Rn1_statistic.R | 6 +- tests/tinytest.R | 4 +- 16 files changed, 150 insertions(+), 135 deletions(-) diff --git a/Makefile b/Makefile index 651ef8b..2277b87 100644 --- a/Makefile +++ b/Makefile @@ -27,7 +27,7 @@ test: NAMESPACE Rscript -e "pkgload::load_all(); tinytest::test_all()" lint: - Rscript -e "pkgload::load_all(); lintr::lint_package()" + Rscript -e "library(tinytest); pkgload::load_all(); lintr::lint_package()" pkgdown: NAMESPACE Rscript -e "library(pkgdown); pkgdown::build_site()" diff --git a/R/GOF_model.R b/R/GOF_model.R index 6795738..344dc92 100644 --- a/R/GOF_model.R +++ b/R/GOF_model.R @@ -47,12 +47,12 @@ ##' y_name = "y", ##' Rn1_statistic = Rn1_KS$new()) ##' mt$get_pvalue() -GOF_model <- function(model, +GOF_model <- function(model, # nolint data, nmb_boot_samples, simulator_type, y_name, - Rn1_statistic, + Rn1_statistic, # nolint gof_model_resample_class = GOF_model_resample, gof_model_test_class = GOF_model_test ) { @@ -61,7 +61,10 @@ GOF_model <- function(model, choices = c("parametric", "semi_parametric_rademacher")) checkmate::assert_multi_class(x = model, classes = c("lm", "glm")) if (inherits(x = model, what = "negbin")) { - warning("The GOF-test requires to refit the model. Refitting MASS::glm.nb can be problematic, see vignette New-Models") + warning(paste( + "The GOF-test requires to refit the model.", + "Refitting MASS::glm.nb can be problematic, see vignette New-Models" + )) } @@ -75,8 +78,8 @@ GOF_model <- function(model, semi_parametric_rademacher = list( new = function() stop( paste( - "Ordinary Least Square estimate necessary for semi_parameteric_rademacher.", - "But MLE is used for GLMs." + "Ordinary Least Square estimate necessary for", + "semi_parameteric_rademacher. But MLE is used for GLMs." ))) ) ) @@ -88,7 +91,7 @@ GOF_model <- function(model, } else if (inherits(x = model, what = "lm")) { mt <- GOF_lm_trainer$new() mie <- GOF_lm_info_extractor$new() - + if (simulator_type == "parametric") { ms <- simulators[["lm"]][[simulator_type]]$new() } else { diff --git a/R/GOF_model_info_extractor.R b/R/GOF_model_info_extractor.R index ce3dd0c..555b19b 100644 --- a/R/GOF_model_info_extractor.R +++ b/R/GOF_model_info_extractor.R @@ -3,7 +3,7 @@ ##' @description R6 does not offer interfaces. Hence all methods ##' are considered as abstract. ##' @export -GOF_model_info_extractor <- R6::R6Class( +GOF_model_info_extractor <- R6::R6Class( # nolint classname = "GOF_model_info_extractor", public = list( ##' @description Abstract function that estimates/predicts the @@ -36,7 +36,7 @@ GOF_model_info_extractor <- R6::R6Class( ##' @description This class is specialized in extracting various information ##' from an object of class "lm" ##' @export -GOF_lm_info_extractor = R6::R6Class( +GOF_lm_info_extractor <- R6::R6Class( # nolint classname = "GOF_lm_info_extractor", inherit = GOF_model_info_extractor, public = list( @@ -65,7 +65,7 @@ GOF_lm_info_extractor = R6::R6Class( ##' @description This class is specialized in extracting various information ##' from an object of class "glm" ##' @export -GOF_glm_info_extractor = R6::R6Class( +GOF_glm_info_extractor <- R6::R6Class( # nolint classname = "GOF_glm_info_extractor", inherit = GOF_model_info_extractor, public = list( diff --git a/R/GOF_model_resample.R b/R/GOF_model_resample.R index 708c62a..0cab344 100644 --- a/R/GOF_model_resample.R +++ b/R/GOF_model_resample.R @@ -4,11 +4,13 @@ ##' @description Class is able to resample model fit, i.e. generate a ##' new data set and refit the model to the new data. ##' @export -GOF_model_resample <- R6::R6Class( +GOF_model_resample <- R6::R6Class( # nolint classname = "GOF_model_resample", public = list( - ##' @param gof_model_simulator an instance that implements \link{GOF_model_simulator} - ##' @param gof_model_trainer an instance that implements \link{GOF_model_trainer} + ##' @param gof_model_simulator an instance that implements + ##' \link{GOF_model_simulator} + ##' @param gof_model_trainer an instance that implements + ##' \link{GOF_model_trainer} ##' @return No explicit return initialize = function(gof_model_simulator, gof_model_trainer) { private$model_simulator <- gof_model_simulator diff --git a/R/GOF_model_simulator.R b/R/GOF_model_simulator.R index 5e815b3..748cce8 100644 --- a/R/GOF_model_simulator.R +++ b/R/GOF_model_simulator.R @@ -3,7 +3,7 @@ ##' @description R6 does not offer interfaces. Hence all methods ##' are considered as abstract. ##' @export -GOF_model_simulator <- R6::R6Class( +GOF_model_simulator <- R6::R6Class( # nolint classname = "GOF_model_simulator", public = list( ##' @description Abstract function that resamples/generates @@ -22,7 +22,7 @@ GOF_model_simulator <- R6::R6Class( ##' of the dependent variable is fully specified and used here ##' to generate new depenedent variables that follow \code{model} ##' @export -GOF_lm_sim_param <- R6::R6Class( +GOF_lm_sim_param <- R6::R6Class( # nolint classname = "GOF_lm_sim_param", ##' @description generates/resamples the dependent variables based ##' on the parameteric nature defined by \code{model} @@ -30,7 +30,7 @@ GOF_lm_sim_param <- R6::R6Class( ##' @return see \link{GOF_model_simulator} public = list( resample_y = function(model) { - simulate(model)[,1] + simulate(model)[, 1] })) @@ -49,13 +49,13 @@ rrademacher <- function(n) { ##' Rademacher random variables are used to add or substract ##' the residuals from the fitted values. ##' @export -GOF_sim_wild_rademacher <- R6::R6Class( +GOF_sim_wild_rademacher <- R6::R6Class( # nolint classname = "GOF_sim_wild_rademacher", public = list( ##' @param gof_model_info_extractor the info extractor that is used ##' to derive the residuals and fitted values for resampling. initialize = function(gof_model_info_extractor) { - private$model_info_extractor = gof_model_info_extractor + private$model_info_extractor <- gof_model_info_extractor }, ##' @description a wild bootstrap using Rademacher random ##' variables to resample the dependent variable @@ -81,12 +81,12 @@ GOF_sim_wild_rademacher <- R6::R6Class( ##' of the dependent variable is fully specified and used here ##' to generate new depenedent variables that follow \code{model} ##' @export -GOF_glm_sim_param <- R6::R6Class( +GOF_glm_sim_param <- R6::R6Class( # nolint classname = "GOF_glm_sim_param", public = list( ##' @description see \link{GOF_model_simulator} ##' @param model see \link{GOF_model_simulator} ##' @return see \link{GOF_model_simulator} resample_y = function(model) { - simulate(model)[,1] + simulate(model)[, 1] })) diff --git a/R/GOF_model_test.R b/R/GOF_model_test.R index b9a107a..24a2ec2 100644 --- a/R/GOF_model_test.R +++ b/R/GOF_model_test.R @@ -4,7 +4,7 @@ ##' a particular linear model, i.e. classical linear models, generalized ##' linear models or models of the type \eqn{m(\beta^\top X) + \epsilon}. ##' @export -GOF_model_test <- R6::R6Class( +GOF_model_test <- R6::R6Class( # nolint classname = "GOF_model_test", public = list( ##' @param model a fitted model @@ -27,28 +27,30 @@ GOF_model_test <- R6::R6Class( data, nmb_boot_samples, y_name, - Rn1_statistic, + Rn1_statistic, # nolint gof_model_info_extractor, gof_model_resample) { checkmate::assert_count(x = nmb_boot_samples, positive = TRUE) private$model_org <- model private$data_org <- data private$y_name <- y_name - private$Rn1_statistic <- Rn1_statistic + private$Rn1_statistic <- Rn1_statistic # nolint private$nmb_boot_samples <- nmb_boot_samples private$model_info_extractor <- gof_model_info_extractor private$model_resample <- gof_model_resample - private$order_beta_dot_X_org <- order( - private$model_info_extractor$beta_x_covariates(model = private$model_org) + private$order_beta_dot_X_org <- order( # nolint + private$model_info_extractor$beta_x_covariates( + model = private$model_org + ) ) - private$Rn1_statistic <- Rn1_statistic + private$Rn1_statistic <- Rn1_statistic # nolint }, ##' @description calculates the marked empricial process for \code{model} ##' @return vector ordered by the inner product of the estimated ##' parameter and the independent variables get_Rn1_org = function() { if (is.null(private$Rn1_org)) { - private$Rn1_org <- private$Rn1( + private$Rn1_org <- private$Rn1( # nolint y_minus_yhat = private$model_info_extractor$y_minus_yhat( model = private$model_org ), @@ -99,10 +101,12 @@ GOF_model_test <- R6::R6Class( model = private$model_org, data = private$data_org, y_name = private$y_name) - Rn1_boot <- private$Rn1( - y_minus_yhat = private$model_info_extractor$y_minus_yhat(model = fit_boot), + Rn1_boot <- private$Rn1( # nolint + y_minus_yhat = private$model_info_extractor$y_minus_yhat( + model = fit_boot + ), order_beta_x_covariates = private$order_beta_dot_X_org) return(Rn1_boot) } - private$Rn1_boot <- lapply(X = 1:private$nmb_boot_samples, FUN = f) + private$Rn1_boot <- lapply(X = 1:private$nmb_boot_samples, FUN = f) # nolint })) diff --git a/R/GOF_model_trainer.R b/R/GOF_model_trainer.R index 218b8f7..0e1ee8c 100644 --- a/R/GOF_model_trainer.R +++ b/R/GOF_model_trainer.R @@ -3,7 +3,7 @@ ##' @description R6 does not offer interfaces. Hence all methods ##' are considered as abstract. ##' @export -GOF_model_trainer <- R6::R6Class( +GOF_model_trainer <- R6::R6Class( # nolint classname = "GOF_model_trainer", public = list( ##' @description Abstract function refits the model to @@ -20,7 +20,7 @@ GOF_model_trainer <- R6::R6Class( ##' for linear models ##' @description refits an object of class "lm" to a new data set ##' @export -GOF_lm_trainer <- R6::R6Class( +GOF_lm_trainer <- R6::R6Class( # nolint classname = "GOF_lm_trainer", public = list( ##' @description see \link{GOF_model_trainer} @@ -35,7 +35,7 @@ GOF_lm_trainer <- R6::R6Class( ##' for generalized linear models ##' @description refits an object of class "glm" to a new data set ##' @export -GOF_glm_trainer <- R6::R6Class( +GOF_glm_trainer <- R6::R6Class( # nolint classname = "GOF_glm_trainer", public = list( ##' @description see \link{GOF_model_trainer} diff --git a/R/Rn1_statistic.R b/R/Rn1_statistic.R index 69b221c..031e46c 100644 --- a/R/Rn1_statistic.R +++ b/R/Rn1_statistic.R @@ -4,14 +4,14 @@ ##' @description R6 does not offer interfaces. Hence all methods ##' are considered as abstract. ##' @export -Rn1_statistic <- R6::R6Class( +Rn1_statistic <- R6::R6Class( # nolint classname = "Rn1_statistic", public = list( ##' @description Abstract function that calculates the statistic ##' for a given marked empirical process ##' @param Rn1 marked empirical process as a double vector ##' @return statistic based on \code{Rn1} - calc_statistic = function(Rn1) { + calc_statistic = function(Rn1) { # nolint stop("Abstract method. Needs to be implemented") }) ) @@ -21,14 +21,14 @@ Rn1_statistic <- R6::R6Class( ##' ##' @description Implements the "interface" Rn1_statistic ##' @export -Rn1_KS <- R6::R6Class( +Rn1_KS <- R6::R6Class( # nolint classname = "Rn1_KS", inherit = Rn1_statistic, public = list( ##' @description calculates the Kolmogorov-Smirnov-statistic ##' @param Rn1 see \link{Rn1_statistic} ##' @return see \link{Rn1_statistic} - calc_statistic = function(Rn1) { + calc_statistic = function(Rn1) { # nolint ret <- max(abs(Rn1)) return(ret) }) @@ -39,7 +39,7 @@ Rn1_KS <- R6::R6Class( ##' ##' @description Implements the "interface" Rn1_statistic ##' @export -Rn1_CvM <- R6::R6Class( +Rn1_CvM <- R6::R6Class( # nolint classname = "Rn1_CvM", inherit = Rn1_statistic, public = list( @@ -47,7 +47,7 @@ Rn1_CvM <- R6::R6Class( ##' statistic ##' @param Rn1 see \link{Rn1_statistic} ##' @return see \link{Rn1_statistic} - calc_statistic = function(Rn1) { + calc_statistic = function(Rn1) { # nolint ret <- mean(Rn1^2) return(ret) }) diff --git a/inst/tinytest/test_GOF_model.R b/inst/tinytest/test_GOF_model.R index 3835b4a..2a007ce 100644 --- a/inst/tinytest/test_GOF_model.R +++ b/inst/tinytest/test_GOF_model.R @@ -1,7 +1,7 @@ dummy_lm_model <- function() { set.seed(1) - X <- rnorm(10) - Y <- 5 * X + rnorm(10) + X <- rnorm(10) # nolint + Y <- 5 * X + rnorm(10) # nolint d <- data.frame(y = Y, x = X) fit <- lm(y ~ x, data = d) ret <- list(fit = fit, X = X, Y = Y, d = d) @@ -10,33 +10,33 @@ dummy_lm_model <- function() { dummy_glm_model <- function() { set.seed(1) - X <- 1:10 - Y <- 1:10 + X <- 1:10 # nolint + Y <- 1:10 # nolint d <- data.frame(y = Y, x = X) fit <- glm(y ~ x, data = d, family = poisson()) ret <- list(fit = fit, X = X, Y = Y, d = d) return(ret) } -GOF_model_resample_dummy <- R6::R6Class( +GOF_model_resample_dummy <- R6::R6Class( # nolint classname = "dummy", public = list( initialize = function(gof_model_simulator, gof_model_trainer) { })) -GOF_model_test_dummy <- R6::R6Class( +GOF_model_test_dummy <- R6::R6Class( # nolint classname = "dummy", public = list( initialize = function(model, data, nmb_boot_samples, y_name, - Rn1_statistic, + Rn1_statistic, # nolint gof_model_info_extractor, gof_model_resample) { })) -GOF_model_error_if_fit_class_is_not_lm_or_glm <- function() { +GOF_model_error_if_fit_class_is_not_lm_or_glm <- function() { # nolint dummy <- dummy_glm_model() class(dummy$fit) <- "lmglm" expect_error( @@ -51,9 +51,9 @@ GOF_model_error_if_fit_class_is_not_lm_or_glm <- function() { } GOF_model_error_if_fit_class_is_not_lm_or_glm() -GOF_model_warns_if_MASS_glmnb_is_used <- function() { - X <- 1:10 - Y <- 1:10 +GOF_model_warns_if_MASS_glmnb_is_used <- function() { # nolint + X <- 1:10 # nolint + Y <- 1:10 # nolint d <- data.frame(y = Y, x = X) fit <- suppressWarnings(MASS::glm.nb(y ~ x, data = d)) expect_warning( @@ -63,23 +63,28 @@ GOF_model_warns_if_MASS_glmnb_is_used <- function() { data = d, y_name = "Y", simulator_type = "parametric", - Rn1_statistic = Rn1_CvM$new()), - pattern = "The GOF-test requires to refit the model. Refitting MASS::glm.nb can be problematic, see vignette New-Models") + Rn1_statistic = Rn1_CvM$new() + ), + pattern = paste( + "The GOF-test requires to refit the model.", + "Refitting MASS::glm.nb can be problematic, see vignette New-Models" + ) + ) } GOF_model_warns_if_MASS_glmnb_is_used() -GOF_model_uses_lm_info_extractor <- function() { +GOF_model_uses_lm_info_extractor <- function() { # nolint dummy_lm <- dummy_lm_model() inject_lm_info_extractor <- FALSE - GOF_model_test_spy <- R6::R6Class( + GOF_model_test_spy <- R6::R6Class( # nolint classname = "GOF_model_test", public = list( initialize = function(model, data, nmb_boot_samples, y_name, - Rn1_statistic, + Rn1_statistic, # nolint gof_model_info_extractor, gof_model_resample) { inject_lm_info_extractor <<- inherits( @@ -96,11 +101,11 @@ GOF_model_uses_lm_info_extractor <- function() { } GOF_model_uses_lm_info_extractor() -GOF_model_uses_lm_trainer <- function() { +GOF_model_uses_lm_trainer <- function() { # nolint dummy_lm <- dummy_lm_model() inject_lm_trainer <- FALSE - GOF_model_resample_spy <- R6::R6Class( + GOF_model_resample_spy <- R6::R6Class( # nolint classname = "GOF_model_resample", public = list( initialize = function(gof_model_simulator, gof_model_trainer) { @@ -118,11 +123,11 @@ GOF_model_uses_lm_trainer <- function() { } GOF_model_uses_lm_trainer() -GOF_model_uses_lm_parametric_simulator <- function() { +GOF_model_uses_lm_parametric_simulator <- function() { # nolint dummy_lm <- dummy_lm_model() inject_lm_param_simulator <- FALSE - GOF_model_resample_spy <- R6::R6Class( + GOF_model_resample_spy <- R6::R6Class( # nolint classname = "GOF_model_resample", public = list( initialize = function(gof_model_simulator, gof_model_trainer) { @@ -140,11 +145,11 @@ GOF_model_uses_lm_parametric_simulator <- function() { } GOF_model_uses_lm_parametric_simulator() -GOF_model_uses_lm_rademacher_simulator <- function() { +GOF_model_uses_lm_rademacher_simulator <- function() { # nolint dummy_lm <- dummy_lm_model() inject_lm_rademacher_simulator <- FALSE - GOF_model_resample_spy <- R6::R6Class( + GOF_model_resample_spy <- R6::R6Class( # nolint classname = "GOF_model_resample", public = list( initialize = function(gof_model_simulator, gof_model_trainer) { @@ -162,18 +167,18 @@ GOF_model_uses_lm_rademacher_simulator <- function() { } GOF_model_uses_lm_rademacher_simulator() -GOF_model_uses_unknow_simulator_type <- function() { +GOF_model_uses_unknow_simulator_type <- function() { # nolint expect_error( GOF_model(simulator_type = "sthelse"), pattern = "simulator_type.*failed") } GOF_model_uses_unknow_simulator_type() -GOF_model_uses_glm_parametric_simulator <- function() { +GOF_model_uses_glm_parametric_simulator <- function() { # nolint dummy_glm <- dummy_glm_model() inject_glm_param_simulator <- FALSE - GOF_model_resample_spy <- R6::R6Class( + GOF_model_resample_spy <- R6::R6Class( # nolint classname = "GOF_model_resample", public = list( initialize = function(gof_model_simulator, gof_model_trainer) { @@ -191,18 +196,18 @@ GOF_model_uses_glm_parametric_simulator <- function() { } GOF_model_uses_glm_parametric_simulator() -GOF_model_uses_glm_info_extractor <- function() { +GOF_model_uses_glm_info_extractor <- function() { # nolint dummy_glm <- dummy_glm_model() inject_glm_info_extractor <- FALSE - GOF_model_test_spy <- R6::R6Class( + GOF_model_test_spy <- R6::R6Class( # nolint classname = "GOF_model_test", public = list( initialize = function(model, data, nmb_boot_samples, y_name, - Rn1_statistic, + Rn1_statistic, # nolint gof_model_info_extractor, gof_model_resample) { inject_glm_info_extractor <<- inherits( @@ -219,11 +224,11 @@ GOF_model_uses_glm_info_extractor <- function() { } GOF_model_uses_glm_info_extractor() -GOF_model_uses_glm_trainer <- function() { +GOF_model_uses_glm_trainer <- function() { # nolint dummy_glm <- dummy_glm_model() inject_glm_trainer <- FALSE - GOF_model_resample_spy <- R6::R6Class( + GOF_model_resample_spy <- R6::R6Class( # nolint classname = "GOF_model_resample", public = list( initialize = function(gof_model_simulator, gof_model_trainer) { @@ -242,10 +247,10 @@ GOF_model_uses_glm_trainer <- function() { GOF_model_uses_glm_trainer() -GOF_model_expect_small_pvalue <- function() { +GOF_model_expect_small_pvalue <- function() { # nolint set.seed(1) - X1 <- rnorm(100) - X2 <- rnorm(100) + X1 <- rnorm(100) # nolint + X2 <- rnorm(100) # nolint d <- data.frame( y = rpois(n = 100, lambda = exp(4 + X1 * 2 + X2 * 6)), x1 = X1) @@ -260,7 +265,7 @@ GOF_model_expect_small_pvalue <- function() { expect_equal(mt$get_pvalue(), 0) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rnorm(n = 100, mean = 4 + X1^2), x1 = X1) @@ -277,9 +282,9 @@ GOF_model_expect_small_pvalue <- function() { } GOF_model_expect_small_pvalue() -GOF_model_expect_non_small_pvalue <- function() { +GOF_model_expect_non_small_pvalue <- function() { # nolint set.seed(1) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rpois(n = 100, lambda = exp(4 + X1 * 2)), x1 = X1) @@ -294,7 +299,7 @@ GOF_model_expect_non_small_pvalue <- function() { expect_equal(mt$get_pvalue(), 0.74) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rnorm(n = 100, mean = 4 + X1 + X1^2), x1 = X1) @@ -311,9 +316,9 @@ GOF_model_expect_non_small_pvalue <- function() { } GOF_model_expect_non_small_pvalue() -GOF_model_error_for_glm_semi_parametric <- function() { +GOF_model_error_for_glm_semi_parametric <- function() { # nolint set.seed(1) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rpois(n = 100, lambda = exp(4 + X1 * 2)), x1 = X1) @@ -326,7 +331,9 @@ GOF_model_error_for_glm_semi_parametric <- function() { simulator_type = "semi_parametric_rademacher", y_name = "y", Rn1_statistic = Rn1_KS$new()), - pattern = "Ordinary Least Square estimate necessary for semi_parameteric_rademacher" + pattern = paste( + "Ordinary Least Square estimate necessary for semi_parameteric_rademacher" + ) ) } GOF_model_error_for_glm_semi_parametric() diff --git a/inst/tinytest/test_GOF_model_info_extractor.R b/inst/tinytest/test_GOF_model_info_extractor.R index 4fa3249..f2f7cdf 100644 --- a/inst/tinytest/test_GOF_model_info_extractor.R +++ b/inst/tinytest/test_GOF_model_info_extractor.R @@ -1,4 +1,4 @@ -GOF_model_info_extractor_all_methods_are_abstract <- function() { +GOF_model_info_extractor_all_methods_are_abstract <- function() { # nolint mif <- GOF_model_info_extractor$new() expect_error( mif$yhat(model = list()), @@ -13,8 +13,8 @@ GOF_model_info_extractor_all_methods_are_abstract <- function() { } GOF_model_info_extractor_all_methods_are_abstract() -GOF_lm_info_extractor_one_covariate <- function() { - fit <- lm(y~x, data = data.frame(y = 2*(1:10), x = 1:10)) +GOF_lm_info_extractor_one_covariate <- function() { # nolint + fit <- lm(y~x, data = data.frame(y = 2 * (1:10), x = 1:10)) mif <- GOF_lm_info_extractor$new() expect_equivalent( mif$yhat(model = fit), @@ -29,9 +29,9 @@ GOF_lm_info_extractor_one_covariate <- function() { GOF_lm_info_extractor_one_covariate() -GOF_glm_info_extractor_one_covariate <- function() { - Y <- 2 * (1:10) - X = 1:10 +GOF_glm_info_extractor_one_covariate <- function() { # nolint + Y <- 2 * (1:10) # nolint + X <- 1:10 # nolint fit <- glm(y~x, data = data.frame(y = Y, x = X), family = poisson()) beta <- coef(fit) b_times_x <- beta["(Intercept)"] + beta["x"] * X diff --git a/inst/tinytest/test_GOF_model_resample.R b/inst/tinytest/test_GOF_model_resample.R index 855bb35..51f35e3 100644 --- a/inst/tinytest/test_GOF_model_resample.R +++ b/inst/tinytest/test_GOF_model_resample.R @@ -1,4 +1,4 @@ -GOF_model_resample_works <- function() { +GOF_model_resample_works <- function() { # nolint d <- data.frame(y = 101:110, x = 1:10) ms_mock <- R6::R6Class( inherit = GOF_model_simulator, @@ -7,7 +7,10 @@ GOF_model_resample_works <- function() { 1:10 }))$new() mt <- GOF_lm_trainer$new() - mr <- GOF_model_resample$new(gof_model_simulator = ms_mock, gof_model_trainer = mt) + mr <- GOF_model_resample$new( + gof_model_simulator = ms_mock, + gof_model_trainer = mt + ) fit <- lm(y~x, data = d) fit_new <- mr$resample(model = fit, data = d, y_name = "y") expect_equivalent( diff --git a/inst/tinytest/test_GOF_model_simulator.R b/inst/tinytest/test_GOF_model_simulator.R index ade7d07..2fa26e8 100644 --- a/inst/tinytest/test_GOF_model_simulator.R +++ b/inst/tinytest/test_GOF_model_simulator.R @@ -1,4 +1,4 @@ -GOF_model_simulator_all_methods_abstract <- function() { +GOF_model_simulator_all_methods_abstract <- function() { # nolint ms <- GOF_model_simulator$new() expect_error( ms$resample_y(), @@ -6,11 +6,11 @@ GOF_model_simulator_all_methods_abstract <- function() { } GOF_model_simulator_all_methods_abstract() -GOF_lm_sim_param_simulates <- function() { +GOF_lm_sim_param_simulates <- function() { # nolint set.seed(1) ms <- GOF_lm_sim_param$new() - X <- 1:1000 - Y <- X + rnorm(1000, sd = 0.1) + X <- 1:1000 # nolint + Y <- X + rnorm(1000, sd = 0.1) # nolint d <- data.frame(y = Y, x = X) fit <- lm(y~x, data = d) expect_true( @@ -22,7 +22,7 @@ GOF_lm_sim_param_simulates <- function() { } GOF_lm_sim_param_simulates() -GOF_sim_wild_rademacher_simulates <- function() { +GOF_sim_wild_rademacher_simulates <- function() { # nolint info_mock <- R6::R6Class( classname = "info_mock", inherit = GOF_model_info_extractor, @@ -35,7 +35,7 @@ GOF_sim_wild_rademacher_simulates <- function() { } ) ) - info_mock = info_mock$new() + info_mock <- info_mock$new() ms <- GOF_sim_wild_rademacher$new(gof_model_info_extractor = info_mock) mockery::stub( where = ms$resample_y, @@ -54,12 +54,12 @@ GOF_sim_wild_rademacher_simulates <- function() { } GOF_sim_wild_rademacher_simulates() -GOF_lm_sim_param_wild_rademacher_simulates <- function() { +GOF_lm_sim_param_wild_rademacher_simulates <- function() { # nolint set.seed(1) ie <- GOF_lm_info_extractor$new() ms <- GOF_sim_wild_rademacher$new(gof_model_info_extractor = ie) - X <- 1:10 - Y <- X + rnorm(10) + X <- 1:10 # nolint + Y <- X + rnorm(10) # nolint d <- data.frame(y = Y, x = X) fit <- lm(y~x, data = d) mockery::stub( @@ -83,11 +83,11 @@ GOF_lm_sim_param_wild_rademacher_simulates <- function() { } GOF_lm_sim_param_wild_rademacher_simulates() -GOF_glm_sim_param_simulates <- function() { +GOF_glm_sim_param_simulates <- function() { # nolint set.seed(1) - N <- 100 - X1 <- rnorm(N) - X2 <- rnorm(N) + N <- 100 # nolint + X1 <- rnorm(N) # nolint + X2 <- rnorm(N) # nolint d <- data.frame( sth = rpois(n = N, lambda = exp(4 + X1 * 2 + X2 * 6)), x1 = X1, x2 = X2) @@ -101,4 +101,3 @@ GOF_glm_sim_param_simulates <- function() { ) } GOF_glm_sim_param_simulates() - diff --git a/inst/tinytest/test_GOF_model_test.R b/inst/tinytest/test_GOF_model_test.R index e846360..ea815b2 100644 --- a/inst/tinytest/test_GOF_model_test.R +++ b/inst/tinytest/test_GOF_model_test.R @@ -1,7 +1,7 @@ -Rn1_fun <- function(r, o) { +Rn1_fun <- function(r, o) { # nolint cumsum(r[o]) } -GOF_model_test_necessary_input <- function() { +GOF_model_test_necessary_input <- function() { # nolint expect_error( GOF_model_test$new(), pattern = "nmb_boot_samples") @@ -50,10 +50,10 @@ GOF_model_test_necessary_input <- function() { } GOF_model_test_necessary_input() -GOF_model_test_calc_Rn1_org <- function() { +GOF_model_test_calc_Rn1_org <- function() { # nolint set.seed(1) - X <- rnorm(10) - Y <- 5 * X + rnorm(10) + X <- rnorm(10) # nolint + Y <- 5 * X + rnorm(10) # nolint d <- data.frame(y = Y, x = X) fit <- lm(y ~ x, data = d) mt <- GOF_model_test$new( @@ -71,20 +71,20 @@ GOF_model_test_calc_Rn1_org <- function() { } GOF_model_test_calc_Rn1_org() -GOF_model_test_calc_Rn1_boot <- function() { +GOF_model_test_calc_Rn1_boot <- function() { # nolint set.seed(1) - X <- rnorm(10) - Y <- 5 * X + rnorm(10) + X <- rnorm(10) # nolint + Y <- 5 * X + rnorm(10) # nolint d <- data.frame(y = Y, x = X) fit <- lm(y ~ x, data = d) model_resample_mock <- list(rnorm(10), rnorm(10), rnorm(10)) - MODEL_MOCK_NMB <- 0 + MODEL_MOCK_NMB <- 0 # nolint lm_sim_para_mock <- R6::R6Class( public = list( resample_y = function(model) { - MODEL_MOCK_NMB <<- MODEL_MOCK_NMB + 1 + MODEL_MOCK_NMB <<- MODEL_MOCK_NMB + 1 # nolint model_resample_mock[[MODEL_MOCK_NMB]] }))$new() @@ -121,13 +121,13 @@ GOF_model_test_calc_Rn1_boot <- function() { } GOF_model_test_calc_Rn1_boot() -GOF_model_test_calc_pvalue <- function() { +GOF_model_test_calc_pvalue <- function() { # nolint set.seed(1) - X <- rnorm(10) - Y <- 5 * X + rnorm(10) + X <- rnorm(10) # nolint + Y <- 5 * X + rnorm(10) # nolint d <- data.frame(y = Y, x = X) fit <- lm(y ~ x, data = d) - KS <- Rn1_KS$new() + KS <- Rn1_KS$new() # nolint mt <- GOF_model_test$new( model = fit, data = d, @@ -140,8 +140,7 @@ GOF_model_test_calc_pvalue <- function() { gof_model_trainer = GOF_lm_trainer$new())) out <- mt$get_pvalue() expect_equal( - out, - { + out, { stat_org <- KS$calc_statistic(mt$get_Rn1_org()) stat_boot <- sapply(mt$get_Rn1_boot(), KS$calc_statistic) mean(stat_org < stat_boot) @@ -152,10 +151,10 @@ GOF_model_test_calc_pvalue() -GOF_model_test_expect_small_pvalue <- function() { +GOF_model_test_expect_small_pvalue <- function() { # nolint set.seed(1) - X1 <- rnorm(100) - X2 <- rnorm(100) + X1 <- rnorm(100) # nolint + X2 <- rnorm(100) # nolint d <- data.frame( y = rpois(n = 100, lambda = exp(4 + X1 * 2 + X2 * 6)), x1 = X1) @@ -173,7 +172,7 @@ GOF_model_test_expect_small_pvalue <- function() { expect_equal(mt$get_pvalue(), 0) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rnorm(n = 100, mean = 4 + X1^2), x1 = X1) @@ -196,9 +195,9 @@ GOF_model_test_expect_small_pvalue <- function() { } GOF_model_test_expect_small_pvalue() -GOF_model_test_expect_non_small_pvalue <- function() { +GOF_model_test_expect_non_small_pvalue <- function() { # nolint set.seed(1) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rpois(n = 100, lambda = exp(4 + X1 * 2)), x1 = X1) @@ -216,7 +215,7 @@ GOF_model_test_expect_non_small_pvalue <- function() { expect_equal(mt$get_pvalue(), 0.74) - X1 <- rnorm(100) + X1 <- rnorm(100) # nolint d <- data.frame( y = rnorm(n = 100, mean = 4 + X1 + X1^2), x1 = X1) diff --git a/inst/tinytest/test_GOF_model_trainer.R b/inst/tinytest/test_GOF_model_trainer.R index 9dc8baf..24ef69c 100644 --- a/inst/tinytest/test_GOF_model_trainer.R +++ b/inst/tinytest/test_GOF_model_trainer.R @@ -1,4 +1,4 @@ -GOF_model_trainer_all_methods_abstract <- function() { +GOF_model_trainer_all_methods_abstract <- function() { # nolint mt <- GOF_model_trainer$new() expect_error( mt$refit(), @@ -6,12 +6,12 @@ GOF_model_trainer_all_methods_abstract <- function() { } GOF_model_trainer_all_methods_abstract() -GOF_lm_trainer_refits_model <- function() { +GOF_lm_trainer_refits_model <- function() { # nolint mt <- GOF_lm_trainer$new() d <- data.frame(Y = 1:10, X = 1:10) fit <- lm(Y~X, data = d) d_new <- d - d_new$Y <- -(1:10) + d_new$Y <- -(1:10) # nolint fit_new <- mt$refit(model = fit, data = d_new) expect_equivalent( coef(fit_new), @@ -19,12 +19,12 @@ GOF_lm_trainer_refits_model <- function() { } GOF_lm_trainer_refits_model() -GOF_glm_trainer_refits_model <- function() { +GOF_glm_trainer_refits_model <- function() { # nolint mt <- GOF_glm_trainer$new() d <- data.frame(Y = 1:10, X = 1:10) fit <- glm(Y~X, data = d, family = Gamma()) d_new <- d - d_new$Y <- (101:110) + d_new$Y <- (101:110) # nolint fit_new <- mt$refit(model = fit, data = d_new) expect_equivalent( coef(fit_new), diff --git a/inst/tinytest/test_Rn1_statistic.R b/inst/tinytest/test_Rn1_statistic.R index f3d59c9..0abefde 100644 --- a/inst/tinytest/test_Rn1_statistic.R +++ b/inst/tinytest/test_Rn1_statistic.R @@ -1,4 +1,4 @@ -Rn1_statistic_all_methods_are_abstract <- function() { +Rn1_statistic_all_methods_are_abstract <- function() { # nolint stat <- Rn1_statistic$new() expect_error( stat$calc_statistic(Rn1 = 1:100), @@ -7,7 +7,7 @@ Rn1_statistic_all_methods_are_abstract <- function() { } Rn1_statistic_all_methods_are_abstract() -Rn1_KS_calculates_Kolomogorov_Smirnoff <- function() { +Rn1_KS_calculates_Kolomogorov_Smirnoff <- function() { # nolint stat <- Rn1_KS$new() r <- runif(10) expect_equal( @@ -16,7 +16,7 @@ Rn1_KS_calculates_Kolomogorov_Smirnoff <- function() { } Rn1_KS_calculates_Kolomogorov_Smirnoff() -Rn1_CvM_calculates_Cramer_von_Mises <- function() { +Rn1_CvM_calculates_Cramer_von_Mises <- function() { # nolint stat <- Rn1_CvM$new() r <- runif(10) expect_equal( diff --git a/tests/tinytest.R b/tests/tinytest.R index e2ca361..b8d6e2b 100644 --- a/tests/tinytest.R +++ b/tests/tinytest.R @@ -1,5 +1,3 @@ - -if ( requireNamespace("tinytest", quietly=TRUE) ){ +if (requireNamespace("tinytest", quietly = TRUE)) { tinytest::test_package("bootGOF") } - From 4bb4397c56bcb489fb8e88e3d1ff5e1914b13c7c Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 21:58:37 +0200 Subject: [PATCH 05/20] add Dockerfile from Rpkgtemplate --- docker/Dockerfile | 29 +++++++++++++++++------------ docker/Dockerfile.doom | 17 ----------------- docker/build.sh | 3 --- docker/build_doom.sh | 4 ---- docker/start.sh | 3 +-- docker/start_doom.sh | 15 --------------- 6 files changed, 18 insertions(+), 53 deletions(-) delete mode 100644 docker/Dockerfile.doom delete mode 100755 docker/build.sh delete mode 100755 docker/build_doom.sh mode change 100755 => 100644 docker/start.sh delete mode 100755 docker/start_doom.sh diff --git a/docker/Dockerfile b/docker/Dockerfile index 80ba471..4e6690f 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,4 +1,4 @@ -FROM rocker/verse:4.0.0 +FROM rocker/verse:4.1.0 RUN apt-get update && apt-get install -y \ ranger \ @@ -10,16 +10,21 @@ RUN apt-get update && apt-get install -y \ # by plantuml graphviz \ # xdg-utils and ff necessary to display -# drake-network-graphs +# drake-network-graphs from emacs xdg-utils \ firefox \ - && ln -sf /usr/share/zoneinfo/Europe/Berlin /etc/localtime \ - && git config --global user.email "scheer@freescience.de" \ - && git config --global user.name "Marsel Scheer" \ - && mv /root/.gitconfig /home/rstudio \ - && chown rstudio:rstudio /home/rstudio/.gitconfig \ - && usermod --shell /bin/bash rstudio \ -# create directory for mounting the host file system - && su -l rstudio -c "mkdir -p /tmp/hostfs" \ - && su -l rstudio -c "ln -s /tmp/hostfs /home/rstudio/hostfs" \ - && su -l rstudio -c "echo RENV_PATHS_ROOT=~/hostfs/renv/ > /home/rstudio/.Renviron" + && ln -sf /usr/share/zoneinfo/Europe/Berlin /etc/localtime + +USER rstudio +WORKDIR /home/rstudio +RUN mkdir -p /tmp/hostfs \ + && ln -s /tmp/hostfs \ + && ln -s /tmp/hostfs/.emacs.d \ + && ln -s /tmp/hostfs/.gitconfig \ + && ln -s /tmp/hostfs/.ssh \ + && echo "export DISPLAY=:0" > /home/rstudio/.bashrc \ + && echo RENV_PATHS_ROOT=~/hostfs/renv/ > /home/rstudio/.Renviron + +# last command MUST be USER root?!? +# otherwise container will directly stop +USER root diff --git a/docker/Dockerfile.doom b/docker/Dockerfile.doom deleted file mode 100644 index ee82f48..0000000 --- a/docker/Dockerfile.doom +++ /dev/null @@ -1,17 +0,0 @@ -FROM rstudio:4.0.0 - -USER rstudio - -# install and configure doom-emacs -RUN git clone --depth 1 https://github.com/hlissner/doom-emacs ~/.emacs.d \ - && yes | ~/.emacs.d/bin/doom install \ - && mv ~/.doom.d ~/.doom.d.org \ - && git clone https://github.com/MarselScheer/.doom.d.git ~/.doom.d \ - && echo "(package! plantuml-mode)" >> ~/.doom.d/packages.el \ - && ~/.emacs.d/bin/doom sync \ - && echo '(setq plantuml-jar-path "/home/rstudio/hostfs/plantuml.jar")' >> ~/.doom.d/config.el \ - && echo "(setq plantuml-default-exec-mode 'jar)" >> ~/.doom.d/config.el - -# root at the end is need, otherwise -# container stops directly after start?!? -USER root diff --git a/docker/build.sh b/docker/build.sh deleted file mode 100755 index f866322..0000000 --- a/docker/build.sh +++ /dev/null @@ -1,3 +0,0 @@ -#!/bin/bash - -sudo docker build -t rstudio:4.0.0 . diff --git a/docker/build_doom.sh b/docker/build_doom.sh deleted file mode 100755 index 01ab722..0000000 --- a/docker/build_doom.sh +++ /dev/null @@ -1,4 +0,0 @@ -#!/bin/bash - -./build.sh -sudo docker build -t doom_r:4.0.0 -f Dockerfile.doom . diff --git a/docker/start.sh b/docker/start.sh old mode 100755 new mode 100644 index 34131ef..c4cf196 --- a/docker/start.sh +++ b/docker/start.sh @@ -1,5 +1,4 @@ sudo docker run --rm -d -p 8787:8787 -e DISABLE_AUTH=true \ -v ~/docker_fs:/tmp/hostfs \ -v /tmp/.X11-unix:/tmp/.X11-unix \ - rstudio:4.0.0 - + rstudio_emacs:4.1.0 diff --git a/docker/start_doom.sh b/docker/start_doom.sh deleted file mode 100755 index 214edd8..0000000 --- a/docker/start_doom.sh +++ /dev/null @@ -1,15 +0,0 @@ -sudo docker run --rm -d -p 8787:8787 -e DISABLE_AUTH=true \ - -v ~/docker_fs:/tmp/hostfs \ - -v /tmp/.X11-unix:/tmp/.X11-unix \ - doom_r:4.0.0 - -# in order to display doom-emacs on the host: -# echo $DISPLAY -# xhost +local:'containerID' -# docker exec -it containerID /bin/bash -# su -l rstudio -# export DISPLAY= -# emacs - - - From b448022ea138688219cb10fcddf5caca3429039f Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 21:59:48 +0200 Subject: [PATCH 06/20] update badges in README and describe how to run tests after installation --- README.Rmd | 36 ++++++------ README.md | 160 ++++++++++++++++++++++++++--------------------------- 2 files changed, 96 insertions(+), 100 deletions(-) diff --git a/README.Rmd b/README.Rmd index b82b63b..1112838 100644 --- a/README.Rmd +++ b/README.Rmd @@ -13,23 +13,15 @@ knitr::opts_chunk$set( ``` -```{r badges, results='asis', echo=FALSE} -suppressPackageStartupMessages(library(badgecreatr)) -acc <- "MarselScheer" -repo <- "bootGOF" -branch <- "master" -status <- "active" -lifecycle <- "experimental" -badges <- list( - badge_travis(ghaccount = acc, ghrepo = repo, branch = branch), - badge_lifecycle(lifecycle = lifecycle), - badge_projectstatus(status = status), - badge_cran_version_ago(packagename = repo), - badge_cran_downloads(packagename = repo), - badge_license() - ) -cat(paste(badges, collapse = " ")) -``` +[![R build status](https://github.com/MarselScheer/bootGOF/workflows/R-CMD-check/badge.svg)](https://github.com/MarselScheer/bootGOF/actions) +[![Coverage Status](https://img.shields.io/codecov/c/github/MarselScheer/bootGOF/develop.svg)](https://codecov.io/github/MarselScheer/bootGOF?branch=develop) +[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) +[![Project Status: Active – The project has reached a stable, usable +state and is being actively +developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) +[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/bootGOF)](https://cran.r-project.org/package=bootGOF) +[![metacran downloads](https://cranlogs.r-pkg.org/badges/bootGOF)](https://cran.r-project.org/package=bootGOF) +[![license](https://img.shields.io/badge/license-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html) # bootGOF @@ -103,6 +95,16 @@ or github devtools::install_github("MarselScheer/bootGOF") ``` +## Tests + +After installing the package you can execute the unit tests of the +package in your environment by calling: + +```{r, eval = FALSE} +library(tinytest) +tinytest::test_package("bootGOF") +``` + # sessionInfo ```{r} diff --git a/README.md b/README.md index 1407cbc..319bdbd 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,8 @@ - [![Build Status](https://travis-ci.org/MarselScheer/bootGOF.svg?branch=master)](https://travis-ci.org/MarselScheer/bootGOF) -[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) +[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental) [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) @@ -12,110 +11,105 @@ developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.re downloads](https://cranlogs.r-pkg.org/badges/bootGOF)](https://cran.r-project.org/package=bootGOF) [![license](https://img.shields.io/badge/license-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html) -# bootGOF +bootGOF +======= Bootstrap based goodness-of-fit tests for (linear) models. Assume you have fitted a statistical model, e.g. classical linear model or generalized linear model or a model that follows -\(Y = m(\beta^\top X) + \epsilon\). This package allows to perform a +*Y* = *m*(*β*⊤*X*) + *ϵ*. This package allows to perform a rigorous statistical test to check if the chosen model family is correct. -## Example +Example +------- First we generate a data-set in order to apply the package. -``` r -set.seed(1) -N <- 100 -X1 <- rnorm(N) -X2 <- rnorm(N) -d <- data.frame( - y = rpois(n = N, lambda = exp(4 + X1 * 2 + X2 * 6)), - x1 = X1, - x2 = X2) -``` - -Note that both covariates influence the dependent variable \(Y\). Taking + set.seed(1) + N <- 100 + X1 <- rnorm(N) + X2 <- rnorm(N) + d <- data.frame( + y = rpois(n = N, lambda = exp(4 + X1 * 2 + X2 * 6)), + x1 = X1, + x2 = X2) + +Note that both covariates influence the dependent variable *Y*. Taking only one of the covariates into account obviously leads to a model family that is not correct and the GOF-test should reveal that: -``` r -fit <- glm(y ~ x1, data = d, family = poisson()) - -library(bootGOF) -mt <- GOF_model( - model = fit, - data = d, - nmb_boot_samples = 100, - simulator_type = "parametric", - y_name = "y", - Rn1_statistic = Rn1_KS$new()) -mt$get_pvalue() -#> [1] 0 -``` + fit <- glm(y ~ x1, data = d, family = poisson()) + + library(bootGOF) + mt <- GOF_model( + model = fit, + data = d, + nmb_boot_samples = 100, + simulator_type = "parametric", + y_name = "y", + Rn1_statistic = Rn1_KS$new()) + mt$get_pvalue() + #> [1] 0 On the other hand assuming the correct model family should in general not be rejected by the GOF-test: -``` r -fit <- glm(y ~ x1 + x2, data = d, family = poisson()) -mt <- GOF_model( - model = fit, - data = d, - nmb_boot_samples = 100, - simulator_type = "parametric", - y_name = "y", - Rn1_statistic = Rn1_KS$new()) -mt$get_pvalue() -#> [1] 0.61 -``` + fit <- glm(y ~ x1 + x2, data = d, family = poisson()) + mt <- GOF_model( + model = fit, + data = d, + nmb_boot_samples = 100, + simulator_type = "parametric", + y_name = "y", + Rn1_statistic = Rn1_KS$new()) + mt$get_pvalue() + #> [1] 0.61 … -## Installation +Installation +------------ You can install it from CRAN -``` r -install.packages("bootGOF") -``` + install.packages("bootGOF") or github -``` r -devtools::install_github("MarselScheer/bootGOF") -``` - -# sessionInfo - -``` r -sessionInfo() -#> R version 4.0.0 (2020-04-24) -#> Platform: x86_64-pc-linux-gnu (64-bit) -#> Running under: Ubuntu 20.04 LTS -#> -#> Matrix products: default -#> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so -#> -#> locale: -#> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C -#> [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 -#> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=C -#> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C -#> [9] LC_ADDRESS=C LC_TELEPHONE=C -#> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C -#> -#> attached base packages: -#> [1] stats graphics grDevices datasets utils methods base -#> -#> other attached packages: -#> [1] bootGOF_0.1.0 badgecreatr_0.2.0 -#> -#> loaded via a namespace (and not attached): -#> [1] digest_0.6.25 R6_2.4.1 backports_1.1.8 git2r_0.27.1 -#> [5] magrittr_1.5 evaluate_0.14 rlang_0.4.10 stringi_1.4.6 -#> [9] renv_0.10.0 checkmate_2.0.0 rmarkdown_2.3 tools_4.0.0 -#> [13] stringr_1.4.0 xfun_0.15 yaml_2.2.1 compiler_4.0.0 -#> [17] htmltools_0.5.0 knitr_1.29 -``` + devtools::install_github("MarselScheer/bootGOF") + +sessionInfo +=========== + + sessionInfo() + #> R version 4.0.0 (2020-04-24) + #> Platform: x86_64-pc-linux-gnu (64-bit) + #> Running under: Ubuntu 20.04 LTS + #> + #> Matrix products: default + #> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so + #> + #> locale: + #> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C + #> [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 + #> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=C + #> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C + #> [9] LC_ADDRESS=C LC_TELEPHONE=C + #> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C + #> + #> attached base packages: + #> [1] stats graphics grDevices utils datasets methods base + #> + #> other attached packages: + #> [1] badgecreatr_0.2.0 bootGOF_0.1.0.9000 + #> + #> loaded via a namespace (and not attached): + #> [1] knitr_1.29 magrittr_1.5 pkgload_1.1.0 R6_2.4.1 + #> [5] rlang_0.4.10 fansi_0.4.1 stringr_1.4.0 tools_4.0.0 + #> [9] pkgbuild_1.0.8 checkmate_2.0.0 xfun_0.15 cli_2.0.2 + #> [13] git2r_0.27.1 withr_2.4.1 htmltools_0.5.0 yaml_2.2.1 + #> [17] assertthat_0.2.1 rprojroot_1.3-2 digest_0.6.25 crayon_1.3.4 + #> [21] processx_3.4.3 callr_3.4.3 ps_1.3.3 testthat_2.3.2 + #> [25] glue_1.4.1 evaluate_0.14 rmarkdown_2.3 stringi_1.4.6 + #> [29] compiler_4.0.0 desc_1.2.0 backports_1.1.8 prettyunits_1.1.1 From 89e196a8ffa40932d48cf36095d49af592b2f80c Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 22:06:23 +0200 Subject: [PATCH 07/20] add gh-actions from Rpkgtemplate --- .github/.gitignore | 1 + .github/workflows/Features.yaml | 70 ++++++++++++++++++++++++++++ .github/workflows/R-CMD-check.yaml | 60 ++++++++++++++++++++++++ .github/workflows/Test-coverage.yaml | 46 ++++++++++++++++++ .github/workflows/pkgdown.yaml | 33 +++++++++++++ 5 files changed, 210 insertions(+) create mode 100644 .github/.gitignore create mode 100644 .github/workflows/Features.yaml create mode 100644 .github/workflows/R-CMD-check.yaml create mode 100644 .github/workflows/Test-coverage.yaml create mode 100644 .github/workflows/pkgdown.yaml diff --git a/.github/.gitignore b/.github/.gitignore new file mode 100644 index 0000000..2d19fc7 --- /dev/null +++ b/.github/.gitignore @@ -0,0 +1 @@ +*.html diff --git a/.github/workflows/Features.yaml b/.github/workflows/Features.yaml new file mode 100644 index 0000000..6f19ef1 --- /dev/null +++ b/.github/workflows/Features.yaml @@ -0,0 +1,70 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/master/examples +# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +on: + push: + branches: [feature/**] + paths: [DESCRIPTION, .Rbuildignore, R/**, tests/**, inst/**, .github/**] + + +name: Feature-branch-checks + +jobs: + R-CMD-check: + runs-on: ${{ matrix.config.os }} + + name: ${{ matrix.config.os }} (${{ matrix.config.r }}) + + strategy: + fail-fast: true + matrix: + config: + - {os: ubuntu-latest, r: 'release'} + + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + + steps: + - uses: actions/checkout@v2 + + - uses: r-lib/actions/setup-pandoc@v1 + + - uses: r-lib/actions/setup-r@v1 + with: + r-version: ${{ matrix.config.r }} + http-user-agent: ${{ matrix.config.http-user-agent }} + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v1 + with: + extra-packages: rcmdcheck, covr, tinytest + + - name: Lint + run: | + out <- lintr::lint_dir() + if (0 < length(out)) stop("Linting failure") else print("Linting successful") + shell: Rscript {0} + + - name: Coverage + run: | + library(tinytest) + roxygen2::roxygenize() + test_covr <- covr::package_coverage() + lowest_covr_value <- min(sapply(test_covr, "[[", "value")) + if (lowest_covr_value < 1) stop(sprintf("Coverage of %s (<1) too low", lowest_covr_value)) + shell: Rscript {0} + + - name: Check + env: + _R_CHECK_CRAN_INCOMING_: false + run: | + options(crayon.enabled = TRUE) + rcmdcheck::rcmdcheck(args = c("--no-manual", "--as-cran"), error_on = "warning", check_dir = "check") + shell: Rscript {0} + + - name: Upload check results + if: failure() + uses: actions/upload-artifact@main + with: + name: ${{ runner.os }}-r${{ matrix.config.r }}-results + path: check diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml new file mode 100644 index 0000000..79b429e --- /dev/null +++ b/.github/workflows/R-CMD-check.yaml @@ -0,0 +1,60 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/master/examples +# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +on: + push: + branches: [master, develop] + paths: [DESCRIPTION, .Rbuildignore, R/**, tests/**, inst/**, .github/**] + pull_request: + branches: [master, develop] + paths: [DESCRIPTION, .Rbuildignore, R/**, tests/**, inst/**, .github/**] + +name: R-CMD-check + +jobs: + R-CMD-check: + runs-on: ${{ matrix.config.os }} + + name: ${{ matrix.config.os }} (${{ matrix.config.r }}) + + strategy: + fail-fast: false + matrix: + config: + - {os: macOS-latest, r: 'release'} + - {os: windows-latest, r: 'release'} + - {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'} + - {os: ubuntu-latest, r: 'release'} + + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + + steps: + - uses: actions/checkout@v2 + + - uses: r-lib/actions/setup-pandoc@v1 + + - uses: r-lib/actions/setup-r@v1 + with: + r-version: ${{ matrix.config.r }} + http-user-agent: ${{ matrix.config.http-user-agent }} + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v1 + with: + extra-packages: rcmdcheck + + - name: Check + env: + _R_CHECK_CRAN_INCOMING_: false + run: | + options(crayon.enabled = TRUE) + roxygen2::roxygenize() + rcmdcheck::rcmdcheck(args = c("--no-manual", "--as-cran"), error_on = "warning", check_dir = "check") + shell: Rscript {0} + + - name: Upload check results + if: failure() + uses: actions/upload-artifact@main + with: + name: ${{ runner.os }}-r${{ matrix.config.r }}-results + path: check diff --git a/.github/workflows/Test-coverage.yaml b/.github/workflows/Test-coverage.yaml new file mode 100644 index 0000000..46b8a53 --- /dev/null +++ b/.github/workflows/Test-coverage.yaml @@ -0,0 +1,46 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/master/examples +# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +on: + push: + branches: [master, develop] + paths: [DESCRIPTION, .Rbuildignore, R/**, tests/**, inst/**, .github/**] + +name: Test coverage + +jobs: + R-CMD-check: + runs-on: ${{ matrix.config.os }} + + name: ${{ matrix.config.os }} (${{ matrix.config.r }}) + + strategy: + fail-fast: true + matrix: + config: + - {os: ubuntu-latest, r: 'release'} + + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} + + steps: + - uses: actions/checkout@v2 + + - uses: r-lib/actions/setup-pandoc@v1 + + - uses: r-lib/actions/setup-r@v1 + with: + r-version: ${{ matrix.config.r }} + http-user-agent: ${{ matrix.config.http-user-agent }} + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v1 + with: + extra-packages: covr, tinytest + + - name: Coverage + run: | + library(tinytest) + roxygen2::roxygenize() + covr::codecov() + shell: Rscript {0} diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml new file mode 100644 index 0000000..bbffba2 --- /dev/null +++ b/.github/workflows/pkgdown.yaml @@ -0,0 +1,33 @@ +# Workflow derived from https://github.com/r-lib/actions/tree/master/examples +# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +on: + push: + branches: [develop] + +name: pkgdown + +jobs: + pkgdown: + runs-on: ubuntu-latest + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + steps: + - uses: actions/checkout@v2 + + - uses: r-lib/actions/setup-pandoc@v1 + + - uses: r-lib/actions/setup-r@v1 + with: + use-public-rspm: true + + - uses: r-lib/actions/setup-r-dependencies@v1 + with: + extra-packages: pkgdown + needs: website + + - name: Deploy package + run: | + git config --local user.name "$GITHUB_ACTOR" + git config --local user.email "$GITHUB_ACTOR@users.noreply.github.com" + Rscript -e "roxygen2::roxygenize()" + Rscript -e 'pkgdown::deploy_to_branch(new_process = FALSE)' From 308f93be6d38605769d65187c74386203360b1a9 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 2 Sep 2021 22:07:18 +0200 Subject: [PATCH 08/20] pkgdown site is build by CI --- .github/workflows/Features.yaml | 3 +- docs/404.html | 163 -------- docs/articles/Architecture.html | 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Classdiagram

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New-Models

- - - Source: vignettes/New-Models.Rmd - - -
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Usually, one creates a GOF-model-test-class via the function GOF_model(). But this function is actually a wrapper for the class GOF_model_test. That class needs other classes to work properly. In particular it uses the three interfaces GOF_model_info_extractor, GOF_model_simulator, GOF_model_trainer. In general, objects of class lm or glm can be used with GOF_model. However, there might be situations where one has to overwrite the default behavior. For instance, if you want to apply the methodology to new models or simply because a model fit returned by an R-package does not work properly with the GOF-package. Here we show how to implement the three interfaces for some concret cases.

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-Least square estimates

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Assume we have such a model

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\[ -Y = m(\beta^\top X) + \epsilon -\]

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without any knowledge about \(\epsilon\). Then we could try to estimate the \(\beta\) using a least square estimate and using the GOF-package for check our fitted model. First we generate a data set

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library(bootGOF)
-set.seed(1)
-X = runif(n = 200, min = 6, max = 14)
-d = data.frame(x = X, y = sin(0.5 * X) + rnorm(200, sd = 0.2))
-plot(y~x, data = d)
-

-

Lets have a short excursion at this point because the plot gives the impression that the following simple model might apply:

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wrong_model = lm(y ~ I(x^2), data = d)
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However, a goodness-of-fit-test rejects this model

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mt <- GOF_model(
-  data = d,
-  model = wrong_model,
-  simulator_type = "parametric",
-  nmb_boot_samples = 100,
-  y_name = "y",
-  Rn1_statistic = Rn1_KS$new())
-mt$get_pvalue()
-#> [1] 0
-

Note that in this simple case the standard diagnostic plots also reveal that this model is not a sufficient. Now we fit the model using a least square estimator:

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library(minpack.lm)
-fit <- minpack.lm::nlsLM(y ~ sin(a * x),
-  data = d,
-  start = c(a = 0.5),
-  control = nls.control(maxiter = 500))
-fit
-#> Nonlinear regression model
-#>   model: y ~ sin(a * x)
-#>    data: d
-#>      a 
-#> 0.4993 
-#>  residual sum-of-squares: 7.873
-#> 
-#> Number of iterations to convergence: 3 
-#> Achieved convergence tolerance: 1.49e-08
-

In order to create a goodnes-of-fit-test using GOF_model_test we have to implement three interfaces. The first interface requires that we implement three functions yhat, y_minus_yhat and beta_x_covariates, which are the predictions for the dependent variable (also called target-variable), the residuals on the scale of the dependent variable and the inner product of the estimated parameters and the independent variables (also called covariates or features). However, the object returned by minpack.lm::nlsLM does not contain the original data set but that data set is necessary to calculate the inner product. Hence, we make a list that contains the model fit and the data that was used to fit the model.

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fit_and_data <- list(fit = fit, data = d)
-

Now we can implement the interface

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library(R6)
-my_nls_info_extractor <- R6::R6Class(
-  classname = "my_nls_info_extractor",
-  inherit = GOF_model_info_extractor,
-  public = list(
-    yhat = function(model) {
-      predict(object = model$fit)
-    },
-    y_minus_yhat = function(model) {
-      residuals(object = model$fit)
-    },
-    beta_x_covariates = function(model) {
-      a_hat <- coef(object = model$fit)
-      x <- model$data$x
-      ret <- a_hat * x
-      return(ret)
-    }
-  ))
-my_info_extractor <- my_nls_info_extractor$new()
-

Implementing yhat and y_minus_yhat is straight forward using the function already offered by R but beta_x_covariates needs special attention. The reason is that minpack.lm::nlsLM can also fit very general models of the type \(m(\beta, X)\). Hence, there is now built-in-function to extract objects like \(\beta^\top X\). Lets look at the first few data points:

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head(d)
-#>           x          y
-#> 1  8.124069 -0.9199426
-#> 2  8.976991 -0.9666172
-#> 3 10.582827 -1.0191812
-#> 4 13.265662  0.3741709
-#> 5  7.613455 -0.7480823
-#> 6 13.187117  0.6588717
-

Now we are able to predict \(y\):

-
head(my_info_extractor$yhat(model = fit_and_data))
-#> [1] -0.7926252 -0.9737135 -0.8407826  0.3343611 -0.6132205  0.2971500
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And calculate the difference between \(y\) and our prediction:

-
head(my_info_extractor$y_minus_yhat(model = fit_and_data))
-#> [1] -0.127317499  0.007096259 -0.178398577  0.039809752 -0.134861797
-#> [6]  0.361721696
-

And based on the estimated coefficient we can calculate the inner product with \(x\):

-
head(my_info_extractor$beta_x_covariates(model = fit_and_data))
-#> [1] 4.056695 4.482596 5.284458 6.624113 3.801724 6.584892
-

Since we did not make an assumption about the distribution of \(\epsilon\) we cannot use a parametric resampling scheme. However, we can do a wild bootstrap that uses only the predictions and the residuals. The class GOF_sim_wild_rademacher implements this wild bootstrap but needs an info extractor to obtain the preditions and residuals:

-
my_simulator <- GOF_sim_wild_rademacher$new(
-  gof_model_info_extractor = my_info_extractor
-)
-

This class generates as many observations (according to the fitted model) as are contained in the data set used to fit the model.

-

Again looking at first at the original data points:

-
head(d)
-#>           x          y
-#> 1  8.124069 -0.9199426
-#> 2  8.976991 -0.9666172
-#> 3 10.582827 -1.0191812
-#> 4 13.265662  0.3741709
-#> 5  7.613455 -0.7480823
-#> 6 13.187117  0.6588717
-

Now lets look at new \(y\)s generated according to the fitted model, i.e. following a negative binomial distribution subject to the independent variables:

-
head(my_simulator$resample_y(model = fit_and_data))
-#> [1] -0.6653077 -0.9808097 -1.0191812  0.3741709 -0.4783588  0.6588717
-

Note that the resampled \(y\)’s sometimes equal the observed \(y\). The reason is that the this wild bootstrap performs ‘predictions +/- residual’ and only the sign is drawn at random.

-

Finally, we need to implement the interface GOF_model_trainer which requires a function refit that is able to update the model object by refitting it to a new data set. R already provides the necessary function, i.e. stats::update. However we combined the fitted model with the data set in a list and we need to take into account:

-
my_nls_trainer <- R6::R6Class(
-  classname = "GOF_nls_trainer",
-  inherit = GOF_model_trainer,
-  public = list(
-    refit = function(model, data) {
-      fit <- update(object = model$fit, data = data)
-      ret <- list(fit = fit, data = data)
-      return(ret)
-    }))
-my_trainer <- my_nls_trainer$new()
-

This implementation basically equals the implementation of GOF_lm/glm/_trainer. The only difference is that we again store the data with the fit because nlsLM() doesn’t do it for us.

-

Of course, fitting the model again to the original data set results in the same fitted model. With the defined classes we can now easily generate a new data set and refit the model to that new data set.

-
new_data <- d
-new_data$y <- my_simulator$resample_y(model = fit_and_data)
-my_trainer$refit(model = fit_and_data, data = new_data)$fit
-#> Nonlinear regression model
-#>   model: y ~ sin(a * x)
-#>    data: data
-#>      a 
-#> 0.4997 
-#>  residual sum-of-squares: 7.871
-#> 
-#> Number of iterations to convergence: 2 
-#> Achieved convergence tolerance: 1.49e-08
-

Now all ingredients are available for applying the Goodness-of-Fit test:

-
set.seed(1)
-mt <- GOF_model_test$new(
-  model = fit_and_data,
-  data = d,
-  nmb_boot_samples = 100,
-  y_name = "y",
-  Rn1_statistic = Rn1_CvM$new(),
-  gof_model_info_extractor = my_info_extractor,
-  gof_model_resample = GOF_model_resample$new(
-    gof_model_simulator = my_simulator,
-    gof_model_trainer = my_trainer
-  )
-)
-mt$get_pvalue()
-#> [1] 0.8
-
-
-

-Negative Binomial using the MASS-package

-

A negative binomial model is a generalized linear model. Furthermore, within R MASS::glm.nb returns an object of class glm and this package actually can process glm-classes. However, MASS::glm.nb seems to have a bug that prevents to propoerly update/refit such an object via the stats::update() function. We briefly illustrate this using an artificial data set:

-
library(MASS)
-set.seed(1)
-X1 <- rnorm(100)
-X2 <- rnorm(100)
-d <- data.frame(
-  y = MASS::rnegbin(n = 100, mu = exp(0.2 + X1 * 0.2 + X2 * 0.6), theta = 2),
-  x1 = X1,
-  x2 = X2)
-fit <- MASS::glm.nb(y~x1+x2, data = d)
-fit
-#> 
-#> Call:  MASS::glm.nb(formula = y ~ x1 + x2, data = d, init.theta = 1.561918046, 
-#>     link = log)
-#> 
-#> Coefficients:
-#> (Intercept)           x1           x2  
-#>      0.1905       0.1532       0.7696  
-#> 
-#> Degrees of Freedom: 99 Total (i.e. Null);  97 Residual
-#> Null Deviance:       144.3 
-#> Residual Deviance: 102.4     AIC: 317.5
-

Note that fit-object shows that the call contained the parameter init.theta which obviously was not provided by us. The problem is that this init.theta parameter is used by stats::update during refitting resampled data. So fitting resampled data and fitting the original data is slightly different from the perspective of the fitting algorithm. To circumvent this problem we can reimplement the corresponding interface as follows:

-
my_negbin_trainer <- R6::R6Class(
-  classname = "GOF_glmnb_trainer",
-  inherit = GOF_model_trainer,
-  public = list(
-    refit = function(model, data) {
-      MASS::glm.nb(formula = formula(model), data = data)
-    }))
-

This way we ensure that the original data set and resampled data set are fitted in the same way. Now we can create the GOF-test-class using this new refitting-class

-
set.seed(1)
-mt <- GOF_model_test$new(
-  model = fit,
-  data = d,
-  nmb_boot_samples = 100,
-  y_name = "y",
-  Rn1_statistic = Rn1_CvM$new(),
-  gof_model_info_extractor = GOF_glm_info_extractor$new(),
-  gof_model_resample = GOF_model_resample$new(
-    gof_model_simulator = GOF_glm_sim_param$new(),
-    gof_model_trainer = my_negbin_trainer$new()
-  )
-)
-mt$get_pvalue()
-#> [1] 0.36
-

Lets compare the result with the default GOF-test for glm’s

-
set.seed(1)
-mt2 <- GOF_model(
-  model = fit,
-  data = d,
-  nmb_boot_samples = 100,
-  simulator_type = "parametric",
-  y_name = "y",
-  Rn1_statistic = Rn1_CvM$new()
-)
-#> Warning in GOF_model(model = fit, data = d, nmb_boot_samples = 100,
-#> simulator_type = "parametric", : The GOF-test requires to refit the model.
-#> Refitting MASS::glm.nb can be problematic, see vignette New-Models
-mt2$get_pvalue()
-#> [1] 0.36
-

In this case the p-values do not differ. However, it could be different in other settings.

-
-
- - - -
- - - -
-

Developed by Marsel Scheer, Gerhard Dikta.

-
- -
-

Site built with pkgdown 1.5.1.

-
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calc_statistic(Rn1)Rn1_KSRn1_CvMGOF_model_simulatorresample_y(model)GOF_lm_sim_paramGOF_sim_wild_rademacherGOF_glm_sim_paramGOF_model_trainerrefit(model, data)GOF_lm_trainerGOF_glm_trainerGOF_model_info_extractordouble[] yhat(model)double[] y_minus_yhat(model)double[] beta_x_covariates(model)GOF_lm_info_extractorGOF_glm_info_extractorGOF_model_resampleGOF_model_simulatorGOF_model_trainerresample()GOF_model_testGOF_model_info_exctractorGOF_model_resample_skeleton RSSRn1_statistic Rn1_statdouble[] Rn1_orgdouble[] Rn1_bootdouble[] Rn1(y_minus_yhat, order_beta_x_covariates)get_Rn1_org()get_Rn1_boot()get_pvalue() \ No newline at end of file diff --git a/docs/articles/index.html b/docs/articles/index.html deleted file mode 100644 index a663ac9..0000000 --- a/docs/articles/index.html +++ /dev/null @@ -1,164 +0,0 @@ - - - - - - - - -Articles • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/authors.html b/docs/authors.html deleted file mode 100644 index a64334e..0000000 --- a/docs/authors.html +++ /dev/null @@ -1,166 +0,0 @@ - - - - - - - - -Authors • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Authors

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- -
    -
  • -

    Marsel Scheer. Author, maintainer. -

    -
    • -
  • -

    Gerhard Dikta. Author. -

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    • -
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Developed by Marsel Scheer, Gerhard Dikta.

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Site built with pkgdown 1.5.1.

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- - - - - - - - diff --git a/docs/bootstrap-toc.css b/docs/bootstrap-toc.css deleted file mode 100644 index 5a85941..0000000 --- a/docs/bootstrap-toc.css +++ /dev/null @@ -1,60 +0,0 @@ -/*! - * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) - * Copyright 2015 Aidan Feldman - * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ - -/* modified from https://github.com/twbs/bootstrap/blob/94b4076dd2efba9af71f0b18d4ee4b163aa9e0dd/docs/assets/css/src/docs.css#L548-L601 */ - -/* All levels of nav */ -nav[data-toggle='toc'] .nav > li > a { - display: block; - padding: 4px 20px; - font-size: 13px; - font-weight: 500; - color: #767676; -} -nav[data-toggle='toc'] .nav > li > a:hover, -nav[data-toggle='toc'] .nav > li > a:focus { - padding-left: 19px; - color: #563d7c; - text-decoration: none; - background-color: transparent; - border-left: 1px solid #563d7c; -} -nav[data-toggle='toc'] .nav > .active > a, -nav[data-toggle='toc'] .nav > .active:hover > a, -nav[data-toggle='toc'] .nav > .active:focus > a { - padding-left: 18px; - font-weight: bold; - color: #563d7c; - background-color: transparent; - border-left: 2px solid #563d7c; -} - -/* Nav: second level (shown on .active) */ -nav[data-toggle='toc'] .nav .nav { - display: none; /* Hide by default, but at >768px, show it */ - padding-bottom: 10px; -} -nav[data-toggle='toc'] .nav .nav > li > a { - padding-top: 1px; - padding-bottom: 1px; - padding-left: 30px; - font-size: 12px; - font-weight: normal; -} -nav[data-toggle='toc'] .nav .nav > li > a:hover, -nav[data-toggle='toc'] .nav .nav > li > a:focus { - padding-left: 29px; -} -nav[data-toggle='toc'] .nav .nav > .active > a, -nav[data-toggle='toc'] .nav .nav > .active:hover > a, -nav[data-toggle='toc'] .nav .nav > .active:focus > a { - padding-left: 28px; - font-weight: 500; -} - -/* from https://github.com/twbs/bootstrap/blob/e38f066d8c203c3e032da0ff23cd2d6098ee2dd6/docs/assets/css/src/docs.css#L631-L634 */ -nav[data-toggle='toc'] .nav > .active > ul { - display: block; -} diff --git a/docs/bootstrap-toc.js b/docs/bootstrap-toc.js deleted file mode 100644 index 1cdd573..0000000 --- a/docs/bootstrap-toc.js +++ /dev/null @@ -1,159 +0,0 @@ -/*! - * Bootstrap Table of Contents v0.4.1 (http://afeld.github.io/bootstrap-toc/) - * Copyright 2015 Aidan Feldman - * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */ -(function() { - 'use strict'; - - window.Toc = { - helpers: { - // return all matching elements in the set, or their descendants - findOrFilter: function($el, selector) { - // http://danielnouri.org/notes/2011/03/14/a-jquery-find-that-also-finds-the-root-element/ - // http://stackoverflow.com/a/12731439/358804 - var $descendants = $el.find(selector); - return $el.filter(selector).add($descendants).filter(':not([data-toc-skip])'); - }, - - generateUniqueIdBase: function(el) { - var text = $(el).text(); - var anchor = text.trim().toLowerCase().replace(/[^A-Za-z0-9]+/g, '-'); - return anchor || el.tagName.toLowerCase(); - }, - - generateUniqueId: function(el) { - var anchorBase = this.generateUniqueIdBase(el); - for (var i = 0; ; i++) { - var anchor = anchorBase; - if (i > 0) { - // add suffix - anchor += '-' + i; - } - // check if ID already exists - if (!document.getElementById(anchor)) { - return anchor; - } - } - }, - - generateAnchor: function(el) { - if (el.id) { - return el.id; - } else { - var anchor = this.generateUniqueId(el); - el.id = anchor; - return anchor; - } - }, - - createNavList: function() { - return $('
    '); - }, - - createChildNavList: function($parent) { - var $childList = this.createNavList(); - $parent.append($childList); - return $childList; - }, - - generateNavEl: function(anchor, text) { - var $a = $(''); - $a.attr('href', '#' + anchor); - $a.text(text); - var $li = $('
  • '); - $li.append($a); - return $li; - }, - - generateNavItem: function(headingEl) { - var anchor = this.generateAnchor(headingEl); - var $heading = $(headingEl); - var text = $heading.data('toc-text') || $heading.text(); - return this.generateNavEl(anchor, text); - }, - - // Find the first heading level (`

    `, then `

    `, etc.) that has more than one element. Defaults to 1 (for `

    `). - getTopLevel: function($scope) { - for (var i = 1; i <= 6; i++) { - var $headings = this.findOrFilter($scope, 'h' + i); - if ($headings.length > 1) { - return i; - } - } - - return 1; - }, - - // returns the elements for the top level, and the next below it - getHeadings: function($scope, topLevel) { - var topSelector = 'h' + topLevel; - - var secondaryLevel = topLevel + 1; - var secondarySelector = 'h' + secondaryLevel; - - return this.findOrFilter($scope, topSelector + ',' + secondarySelector); - }, - - getNavLevel: function(el) { - return parseInt(el.tagName.charAt(1), 10); - }, - - populateNav: function($topContext, topLevel, $headings) { - var $context = $topContext; - var $prevNav; - - var helpers = this; - $headings.each(function(i, el) { - var $newNav = helpers.generateNavItem(el); - var navLevel = helpers.getNavLevel(el); - - // determine the proper $context - if (navLevel === topLevel) { - // use top level - $context = $topContext; - } else if ($prevNav && $context === $topContext) { - // create a new level of the tree and switch to it - $context = helpers.createChildNavList($prevNav); - } // else use the current $context - - $context.append($newNav); - - $prevNav = $newNav; - }); - }, - - parseOps: function(arg) { - var opts; - if (arg.jquery) { - opts = { - $nav: arg - }; - } else { - opts = arg; - } - opts.$scope = opts.$scope || $(document.body); - return opts; - } - }, - - // accepts a jQuery object, or an options object - init: function(opts) { - opts = this.helpers.parseOps(opts); - - // ensure that the data attribute is in place for styling - opts.$nav.attr('data-toggle', 'toc'); - - var $topContext = this.helpers.createChildNavList(opts.$nav); - var topLevel = this.helpers.getTopLevel(opts.$scope); - var $headings = this.helpers.getHeadings(opts.$scope, topLevel); - this.helpers.populateNav($topContext, topLevel, $headings); - } - }; - - $(function() { - $('nav[data-toggle="toc"]').each(function(i, el) { - var $nav = $(el); - Toc.init($nav); - }); - }); -})(); diff --git a/docs/docsearch.css b/docs/docsearch.css deleted file mode 100644 index e5f1fe1..0000000 --- a/docs/docsearch.css +++ /dev/null @@ -1,148 +0,0 @@ -/* Docsearch -------------------------------------------------------------- */ -/* - Source: https://github.com/algolia/docsearch/ - License: MIT -*/ - -.algolia-autocomplete { - display: block; - -webkit-box-flex: 1; - -ms-flex: 1; - flex: 1 -} - -.algolia-autocomplete .ds-dropdown-menu { - width: 100%; - min-width: none; - max-width: none; - padding: .75rem 0; - background-color: #fff; - background-clip: padding-box; - border: 1px solid rgba(0, 0, 0, .1); - box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); -} - -@media (min-width:768px) { - .algolia-autocomplete .ds-dropdown-menu { - width: 175% - } -} - -.algolia-autocomplete .ds-dropdown-menu::before { - display: none -} - -.algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { - padding: 0; - background-color: rgb(255,255,255); - border: 0; - max-height: 80vh; -} - -.algolia-autocomplete .ds-dropdown-menu .ds-suggestions { - margin-top: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion { - padding: 0; - overflow: visible -} - -.algolia-autocomplete .algolia-docsearch-suggestion--category-header { - padding: .125rem 1rem; - margin-top: 0; - font-size: 1.3em; - font-weight: 500; - color: #00008B; - border-bottom: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--wrapper { - float: none; - padding-top: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { - float: none; - width: auto; - padding: 0; - text-align: left -} - -.algolia-autocomplete .algolia-docsearch-suggestion--content { - float: none; - width: auto; - padding: 0 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--content::before { - display: none -} - -.algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { - padding-top: .75rem; - margin-top: .75rem; - border-top: 1px solid rgba(0, 0, 0, .1) -} - -.algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { - display: block; - padding: .1rem 1rem; - margin-bottom: 0.1; - font-size: 1.0em; - font-weight: 400 - /* display: none */ -} - -.algolia-autocomplete .algolia-docsearch-suggestion--title { - display: block; - padding: .25rem 1rem; - margin-bottom: 0; - font-size: 0.9em; - font-weight: 400 -} - -.algolia-autocomplete .algolia-docsearch-suggestion--text { - padding: 0 1rem .5rem; - margin-top: -.25rem; - font-size: 0.8em; - font-weight: 400; - line-height: 1.25 -} - -.algolia-autocomplete .algolia-docsearch-footer { - width: 110px; - height: 20px; - z-index: 3; - margin-top: 10.66667px; - float: right; - font-size: 0; - line-height: 0; -} - -.algolia-autocomplete .algolia-docsearch-footer--logo { - background-image: url("data:image/svg+xml;utf8,"); - background-repeat: no-repeat; - background-position: 50%; - background-size: 100%; - overflow: hidden; - text-indent: -9000px; - width: 100%; - height: 100%; - display: block; - transform: translate(-8px); -} - -.algolia-autocomplete .algolia-docsearch-suggestion--highlight { - color: #FF8C00; - background: rgba(232, 189, 54, 0.1) -} - - -.algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { - box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) -} - -.algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { - background-color: rgba(192, 192, 192, .15) -} diff --git a/docs/docsearch.js b/docs/docsearch.js deleted file mode 100644 index b35504c..0000000 --- a/docs/docsearch.js +++ /dev/null @@ -1,85 +0,0 @@ -$(function() { - - // register a handler to move the focus to the search bar - // upon pressing shift + "/" (i.e. "?") - $(document).on('keydown', function(e) { - if (e.shiftKey && e.keyCode == 191) { - e.preventDefault(); - $("#search-input").focus(); - } - }); - - $(document).ready(function() { - // do keyword highlighting - /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ - var mark = function() { - - var referrer = document.URL ; - var paramKey = "q" ; - - if (referrer.indexOf("?") !== -1) { - var qs = referrer.substr(referrer.indexOf('?') + 1); - var qs_noanchor = qs.split('#')[0]; - var qsa = qs_noanchor.split('&'); - var keyword = ""; - - for (var i = 0; i < qsa.length; i++) { - var currentParam = qsa[i].split('='); - - if (currentParam.length !== 2) { - continue; - } - - if (currentParam[0] == paramKey) { - keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); - } - } - - if (keyword !== "") { - $(".contents").unmark({ - done: function() { - $(".contents").mark(keyword); - } - }); - } - } - }; - - mark(); - }); -}); - -/* Search term highlighting ------------------------------*/ - -function matchedWords(hit) { - var words = []; - - var hierarchy = hit._highlightResult.hierarchy; - // loop to fetch from lvl0, lvl1, etc. - for (var idx in hierarchy) { - words = words.concat(hierarchy[idx].matchedWords); - } - - var content = hit._highlightResult.content; - if (content) { - words = words.concat(content.matchedWords); - } - - // return unique words - var words_uniq = [...new Set(words)]; - return words_uniq; -} - -function updateHitURL(hit) { - - var words = matchedWords(hit); - var url = ""; - - if (hit.anchor) { - url = hit.url_without_anchor + '?q=' + escape(words.join(" ")) + '#' + hit.anchor; - } else { - url = hit.url + '?q=' + escape(words.join(" ")); - } - - return url; -} diff --git a/docs/index.html b/docs/index.html deleted file mode 100644 index 36681a8..0000000 --- a/docs/index.html +++ /dev/null @@ -1,243 +0,0 @@ - - - - - - - -Bootstrap Based Goodness-of-Fit Tests • bootGOF - - - - - - - - - - -
    -
    - - - - -
    -
    - - -
    -

    -bootGOF

    -

    Bootstrap based goodness-of-fit tests for (linear) models. Assume you have fitted a statistical model, e.g. classical linear model or generalized linear model or a model that follows Y = m(β⊤X) + ϵ. This package allows to perform a rigorous statistical test to check if the chosen model family is correct.

    -
    -

    -Example

    -

    First we generate a data-set in order to apply the package.

    -
    set.seed(1)
-N <- 100
-X1 <- rnorm(N)
-X2 <- rnorm(N)
-d <- data.frame(
-  y = rpois(n = N, lambda = exp(4 + X1 * 2 + X2 * 6)),
-  x1 = X1,
-  x2 = X2)
    -

    Note that both covariates influence the dependent variable Y. Taking only one of the covariates into account obviously leads to a model family that is not correct and the GOF-test should reveal that:

    -
    fit <- glm(y ~ x1, data = d, family = poisson())
-
-library(bootGOF)
-mt <- GOF_model(
-  model = fit,
-  data = d,
-  nmb_boot_samples = 100,
-  simulator_type = "parametric",
-  y_name = "y",
-  Rn1_statistic = Rn1_KS$new())
-mt$get_pvalue()
-#> [1] 0
    -

    On the other hand assuming the correct model family should in general not be rejected by the GOF-test:

    -
    fit <- glm(y ~ x1 + x2, data = d, family = poisson())
-mt <- GOF_model(
-  model = fit,
-  data = d,
-  nmb_boot_samples = 100,
-  simulator_type = "parametric",
-  y_name = "y",
-  Rn1_statistic = Rn1_KS$new())
-mt$get_pvalue()
-#> [1] 0.61
    -

    …

    -
    -
    -

    -Installation

    -

    You can install it from CRAN

    -
    install.packages("bootGOF")
    -

    or github

    -
    devtools::install_github("MarselScheer/bootGOF")
    -
    -
    -
    -

    -sessionInfo

    -
    sessionInfo()
-#> R version 4.0.0 (2020-04-24)
-#> Platform: x86_64-pc-linux-gnu (64-bit)
-#> Running under: Ubuntu 20.04 LTS
-#> 
-#> Matrix products: default
-#> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so
-#> 
-#> locale:
-#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
-#>  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
-#>  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=C             
-#>  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
-#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
-#> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
-#> 
-#> attached base packages:
-#> [1] stats     graphics  grDevices datasets  utils     methods   base     
-#> 
-#> other attached packages:
-#> [1] bootGOF_0.1.0     badgecreatr_0.2.0
-#> 
-#> loaded via a namespace (and not attached):
-#>  [1] digest_0.6.25   R6_2.4.1        backports_1.1.8 git2r_0.27.1   
-#>  [5] magrittr_1.5    evaluate_0.14   rlang_0.4.10    stringi_1.4.6  
-#>  [9] renv_0.10.0     checkmate_2.0.0 rmarkdown_2.3   tools_4.0.0    
-#> [13] stringr_1.4.0   xfun_0.15       yaml_2.2.1      compiler_4.0.0 
-#> [17] htmltools_0.5.0 knitr_1.29
    -
    - -
    - - -
    - - -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - diff --git a/docs/link.svg b/docs/link.svg deleted file mode 100644 index 88ad827..0000000 --- a/docs/link.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - diff --git a/docs/news/index.html b/docs/news/index.html deleted file mode 100644 index 751b359..0000000 --- a/docs/news/index.html +++ /dev/null @@ -1,171 +0,0 @@ - - - - - - - - -Changelog • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Changelog

    - Source: NEWS.md -
    - -
    -

    -Version 0.1.0 2021-06-24 -

    -
      -
    • initial release
      • -
    • classical linear models and GLMs can be tested out of the box
      • -
    • interfaces defined and documented in order to reuse the resampling schemes for other models
      • -
    -
    -
    - - - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/pkgdown.css b/docs/pkgdown.css deleted file mode 100644 index c01e592..0000000 --- a/docs/pkgdown.css +++ /dev/null @@ -1,367 +0,0 @@ -/* Sticky footer */ - -/** - * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/ - * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css - * - * .Site -> body > .container - * .Site-content -> body > .container .row - * .footer -> footer - * - * Key idea seems to be to ensure that .container and __all its parents__ - * have height set to 100% - * - */ - -html, body { - height: 100%; -} - -body { - position: relative; -} - -body > .container { - display: flex; - height: 100%; - flex-direction: column; -} - -body > .container .row { - flex: 1 0 auto; -} - -footer { - margin-top: 45px; - padding: 35px 0 36px; - border-top: 1px solid #e5e5e5; - color: #666; - display: flex; - flex-shrink: 0; -} -footer p { - margin-bottom: 0; -} -footer div { - flex: 1; -} -footer .pkgdown { - text-align: right; -} -footer p { - margin-bottom: 0; -} - -img.icon { - float: right; -} - -img { - max-width: 100%; -} - -/* Fix bug in bootstrap (only seen in firefox) */ -summary { - display: list-item; -} - -/* Typographic tweaking ---------------------------------*/ - -.contents .page-header { - margin-top: calc(-60px + 1em); -} - -dd { - margin-left: 3em; -} - -/* Section anchors ---------------------------------*/ - -a.anchor { - margin-left: -30px; - display:inline-block; - width: 30px; - height: 30px; - visibility: hidden; - - background-image: url(./link.svg); - background-repeat: no-repeat; - background-size: 20px 20px; - background-position: center center; -} - -.hasAnchor:hover a.anchor { - visibility: visible; -} - -@media (max-width: 767px) { - .hasAnchor:hover a.anchor { - visibility: hidden; - } -} - - -/* Fixes for fixed navbar --------------------------*/ - -.contents h1, .contents h2, .contents h3, .contents h4 { - padding-top: 60px; - margin-top: -40px; 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- font-size: 1.35rem; -} - -nav[data-toggle='toc'] .nav .nav > li > a:hover, -nav[data-toggle='toc'] .nav .nav > li > a:focus { - padding-left: 15px; -} - -nav[data-toggle='toc'] .nav .nav > .active > a, -nav[data-toggle='toc'] .nav .nav > .active:hover > a, -nav[data-toggle='toc'] .nav .nav > .active:focus > a { - padding-left: 15px; - font-weight: 500; - font-size: 1.35rem; -} - -/* orcid ------------------------------------------------------------------- */ - -.orcid { - font-size: 16px; - color: #A6CE39; - /* margins are required by official ORCID trademark and display guidelines */ - margin-left:4px; - margin-right:4px; - vertical-align: middle; -} - -/* Reference index & topics ----------------------------------------------- */ - -.ref-index th {font-weight: normal;} - -.ref-index td {vertical-align: top;} -.ref-index .icon {width: 40px;} -.ref-index .alias {width: 40%;} -.ref-index-icons .alias {width: calc(40% - 40px);} -.ref-index .title {width: 60%;} - -.ref-arguments th {text-align: right; padding-right: 10px;} -.ref-arguments th, .ref-arguments td {vertical-align: top;} -.ref-arguments .name {width: 20%;} -.ref-arguments .desc {width: 80%;} - -/* Nice scrolling for wide elements --------------------------------------- */ - -table { - display: block; - overflow: auto; -} - -/* Syntax highlighting ---------------------------------------------------- */ - -pre { - word-wrap: normal; - word-break: normal; - border: 1px solid #eee; -} - -pre, code { - background-color: #f8f8f8; - color: #333; -} - -pre code { - overflow: auto; - word-wrap: normal; - white-space: pre; -} - -pre .img { - margin: 5px 0; -} - -pre .img img { - background-color: #fff; - display: block; - height: auto; -} - -code a, pre a { - color: #375f84; -} - -a.sourceLine:hover { - text-decoration: none; -} - -.fl {color: #1514b5;} -.fu {color: #000000;} /* function */ -.ch,.st {color: #036a07;} /* string */ -.kw {color: #264D66;} /* keyword */ -.co {color: #888888;} /* comment */ - -.message { color: black; font-weight: bolder;} -.error { color: orange; font-weight: bolder;} -.warning { color: #6A0366; font-weight: bolder;} - -/* Clipboard --------------------------*/ - -.hasCopyButton { - position: relative; -} - -.btn-copy-ex { - position: absolute; - right: 0; - top: 0; - visibility: hidden; -} - -.hasCopyButton:hover button.btn-copy-ex { - visibility: visible; -} - -/* headroom.js ------------------------ */ - -.headroom { - will-change: transform; - transition: transform 200ms linear; -} -.headroom--pinned { - transform: translateY(0%); -} -.headroom--unpinned { - transform: translateY(-100%); -} - -/* mark.js ----------------------------*/ - -mark { - background-color: rgba(255, 255, 51, 0.5); - border-bottom: 2px solid rgba(255, 153, 51, 0.3); - padding: 1px; -} - -/* vertical spacing after htmlwidgets */ -.html-widget { - margin-bottom: 10px; -} - -/* fontawesome ------------------------ */ - -.fab { - font-family: "Font Awesome 5 Brands" !important; -} - -/* don't display links in code chunks when printing */ -/* source: https://stackoverflow.com/a/10781533 */ -@media print { - code a:link:after, code a:visited:after { - content: ""; - } -} diff --git a/docs/pkgdown.js b/docs/pkgdown.js deleted file mode 100644 index 7e7048f..0000000 --- a/docs/pkgdown.js +++ /dev/null @@ -1,108 +0,0 @@ -/* http://gregfranko.com/blog/jquery-best-practices/ */ -(function($) { - $(function() { - - $('.navbar-fixed-top').headroom(); - - $('body').css('padding-top', $('.navbar').height() + 10); - $(window).resize(function(){ - $('body').css('padding-top', $('.navbar').height() + 10); - }); - - $('[data-toggle="tooltip"]').tooltip(); - - var cur_path = paths(location.pathname); - var links = $("#navbar ul li a"); - var max_length = -1; - var pos = -1; - for (var i = 0; i < links.length; i++) { - if (links[i].getAttribute("href") === "#") - continue; - // Ignore external links - if (links[i].host !== location.host) - continue; - - var nav_path = paths(links[i].pathname); - - var length = prefix_length(nav_path, cur_path); - if (length > max_length) { - max_length = length; - pos = i; - } - } - - // Add class to parent
  • , and enclosing
  • if in dropdown - if (pos >= 0) { - var menu_anchor = $(links[pos]); - menu_anchor.parent().addClass("active"); - menu_anchor.closest("li.dropdown").addClass("active"); - } - }); - - function paths(pathname) { - var pieces = pathname.split("/"); - pieces.shift(); // always starts with / - - var end = pieces[pieces.length - 1]; - if (end === "index.html" || end === "") - pieces.pop(); - return(pieces); - } - - // Returns -1 if not found - function prefix_length(needle, haystack) { - if (needle.length > haystack.length) - return(-1); - - // Special case for length-0 haystack, since for loop won't run - if (haystack.length === 0) { - return(needle.length === 0 ? 0 : -1); - } - - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(i); - } - - return(haystack.length); - } - - /* Clipboard --------------------------*/ - - function changeTooltipMessage(element, msg) { - var tooltipOriginalTitle=element.getAttribute('data-original-title'); - element.setAttribute('data-original-title', msg); - $(element).tooltip('show'); - element.setAttribute('data-original-title', tooltipOriginalTitle); - } - - if(ClipboardJS.isSupported()) { - $(document).ready(function() { - var copyButton = ""; - - $(".examples, div.sourceCode").addClass("hasCopyButton"); - - // Insert copy buttons: - $(copyButton).prependTo(".hasCopyButton"); - - // Initialize tooltips: - $('.btn-copy-ex').tooltip({container: 'body'}); - - // Initialize clipboard: - var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { - text: function(trigger) { - return trigger.parentNode.textContent; - } - }); - - clipboardBtnCopies.on('success', function(e) { - changeTooltipMessage(e.trigger, 'Copied!'); - e.clearSelection(); - }); - - clipboardBtnCopies.on('error', function() { - changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); - }); - }); - } -})(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml deleted file mode 100644 index a3be7bf..0000000 --- a/docs/pkgdown.yml +++ /dev/null @@ -1,11 +0,0 @@ -pandoc: 2.7.3 -pkgdown: 1.5.1 -pkgdown_sha: ~ -articles: - Architecture: Architecture.html - New-Models: New-Models.html -last_built: 2021-09-02T16:08Z -urls: - reference: http://MarselScheer.github.io/bootGOF/reference - article: http://MarselScheer.github.io/bootGOF/articles - diff --git a/docs/reference/GOF_glm_info_extractor.html b/docs/reference/GOF_glm_info_extractor.html deleted file mode 100644 index 718229c..0000000 --- a/docs/reference/GOF_glm_info_extractor.html +++ /dev/null @@ -1,240 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_info_extractor for - for generalized linear models — GOF_glm_info_extractor • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_info_extractor for - for generalized linear models

    - Source: R/GOF_model_info_extractor.R - -
    - -
    -

    This class is specialized in extracting various information - from an object of class "glm"

    -
    - - - -

    Super class

    - -

    bootGOF::GOF_model_info_extractor -> GOF_glm_info_extractor

    -

    Methods

    - - -

    Public methods

    - - -

    Inherited methods -
      -
    -
    - -
    -

    Method yhat()

    -

    see GOF_model_info_extractor

    Usage

    -

    GOF_glm_info_extractor$yhat(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_info_extractor

    - -

    -

    Returns

    -

    see GOF_model_info_extractor

    -

    -

    Method y_minus_yhat()

    -

    see GOF_model_info_extractor

    Usage

    -

    GOF_glm_info_extractor$y_minus_yhat(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_info_extractor

    - -

    -

    Returns

    -

    see GOF_model_info_extractor

    -

    -

    Method beta_x_covariates()

    -

    see GOF_model_info_extractor

    Usage

    -

    GOF_glm_info_extractor$beta_x_covariates(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_info_extractor

    - -

    -

    Returns

    -

    see GOF_model_info_extractor

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_glm_info_extractor$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_glm_sim_param.html b/docs/reference/GOF_glm_sim_param.html deleted file mode 100644 index 5443ca8..0000000 --- a/docs/reference/GOF_glm_sim_param.html +++ /dev/null @@ -1,208 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_simulator for - for generalized linear models — GOF_glm_sim_param • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_simulator for - for generalized linear models

    - Source: R/GOF_model_simulator.R - -
    - -
    -

    after the GLM was fitted the distribution of the - of the dependent variable is fully specified and used here - to generate new depenedent variables that follow model

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method resample_y()

    -

    see GOF_model_simulator

    Usage

    -

    GOF_glm_sim_param$resample_y(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_simulator

    - -

    -

    Returns

    -

    see GOF_model_simulator

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_glm_sim_param$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_glm_trainer.html b/docs/reference/GOF_glm_trainer.html deleted file mode 100644 index 1f9a38a..0000000 --- a/docs/reference/GOF_glm_trainer.html +++ /dev/null @@ -1,206 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_trainer for - for generalized linear models — GOF_glm_trainer • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_trainer for - for generalized linear models

    - Source: R/GOF_model_trainer.R - -
    - -
    -

    refits an object of class "glm" to a new data set

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method refit()

    -

    see GOF_model_trainer

    Usage

    -

    GOF_glm_trainer$refit(model, data)

    - -

    Arguments

    -

    -
    model

    see GOF_model_trainer

    - -
    data

    see GOF_model_trainer

    - -

    -

    Returns

    -

    see GOF_model_trainer

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_glm_trainer$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_lm_info_extractor.html b/docs/reference/GOF_lm_info_extractor.html deleted file mode 100644 index b5bf88c..0000000 --- a/docs/reference/GOF_lm_info_extractor.html +++ /dev/null @@ -1,240 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_info_extractor - for linear models — GOF_lm_info_extractor • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_info_extractor - for linear models

    - Source: R/GOF_model_info_extractor.R - -
    - -
    -

    This class is specialized in extracting various information - from an object of class "lm"

    -
    - - - -

    Super class

    - -

    bootGOF::GOF_model_info_extractor -> GOF_lm_info_extractor

    -

    Methods

    - - -

    Public methods

    - - -

    Inherited methods -
      -
    -
    - -
    -

    Method yhat()

    -

    see GOF_model_info_extractor

    Usage

    -

    GOF_lm_info_extractor$yhat(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_info_extractor

    - -

    -

    Returns

    -

    see GOF_model_info_extractor

    -

    -

    Method y_minus_yhat()

    -

    see GOF_model_info_extractor

    Usage

    -

    GOF_lm_info_extractor$y_minus_yhat(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_info_extractor

    - -

    -

    Returns

    -

    see GOF_model_info_extractor

    -

    -

    Method beta_x_covariates()

    -

    see GOF_model_info_extractor

    Usage

    -

    GOF_lm_info_extractor$beta_x_covariates(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_info_extractor

    - -

    -

    Returns

    -

    see GOF_model_info_extractor

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_lm_info_extractor$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_lm_sim_param.html b/docs/reference/GOF_lm_sim_param.html deleted file mode 100644 index 0649560..0000000 --- a/docs/reference/GOF_lm_sim_param.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_simulator for - for linear models — GOF_lm_sim_param • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_simulator for - for linear models

    - Source: R/GOF_model_simulator.R - -
    - -
    -

    after the classical linear model was fitted the - normal distribution of the - of the dependent variable is fully specified and used here - to generate new depenedent variables that follow model

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method resample_y()

    -

    generates/resamples the dependent variables based - on the parameteric nature defined by model

    Usage

    -

    GOF_lm_sim_param$resample_y(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_simulator

    - -

    -

    Returns

    -

    see GOF_model_simulator

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_lm_sim_param$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_lm_sim_wild_rademacher.html b/docs/reference/GOF_lm_sim_wild_rademacher.html deleted file mode 100644 index 727fce3..0000000 --- a/docs/reference/GOF_lm_sim_wild_rademacher.html +++ /dev/null @@ -1,207 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_simulator for - for linear models — GOF_lm_sim_wild_rademacher • GOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_simulator for - for linear models

    - Source: R/GOF_model_simulator.R - -
    - -
    -

    Rademacher random variables are used to change -add or substract the residuals from the fitted values

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method resample_y()

    -

    a wild bootstrap using Rademacher random - variables to resample the dependent variable

    Usage

    -

    GOF_lm_sim_wild_rademacher$resample_y(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_simulator

    - -

    -

    Returns

    -

    see GOF_model_simulator

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_lm_sim_wild_rademacher$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_lm_trainer.html b/docs/reference/GOF_lm_trainer.html deleted file mode 100644 index f267b0f..0000000 --- a/docs/reference/GOF_lm_trainer.html +++ /dev/null @@ -1,206 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_trainer for - for linear models — GOF_lm_trainer • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_trainer for - for linear models

    - Source: R/GOF_model_trainer.R - -
    - -
    -

    refits an object of class "lm" to a new data set

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method refit()

    -

    see GOF_model_trainer

    Usage

    -

    GOF_lm_trainer$refit(model, data)

    - -

    Arguments

    -

    -
    model

    see GOF_model_trainer

    - -
    data

    see GOF_model_trainer

    - -

    -

    Returns

    -

    see GOF_model_trainer

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_lm_trainer$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model.html b/docs/reference/GOF_model.html deleted file mode 100644 index c3d1e77..0000000 --- a/docs/reference/GOF_model.html +++ /dev/null @@ -1,254 +0,0 @@ - - - - - - - - -Convenience function for creating a GOF-test for statistical models — GOF_model • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Convenience function for creating a GOF-test for statistical models

    - Source: R/GOF_model.R - -
    - -
    -

    Simplifies the creation of an instance of - GOF_model_test, the actual work horse for performing a - goodness-of-fit-test.

    -
    - - 
    GOF_model(
-  model,
-  data,
-  nmb_boot_samples,
-  simulator_type,
-  y_name,
-  Rn1_statistic,
-  gof_model_resample_class = GOF_model_resample,
-  gof_model_test_class = GOF_model_test
-)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    model

    of class 'lm' or 'glm'. Caution with MASS::glm.nb, see -vignette 'New-Models' for more details.

    data

    see GOF_model_test

    nmb_boot_samples

    see GOF_model_test

    simulator_type

    either "parameteric" or "semi_parameteric_rademacher"

    y_name

    see GOF_model_test

    Rn1_statistic

    see GOF_model_test

    gof_model_resample_class

    no need to change this parameter. Here the -class used for resampling the model (GOF_model_resample) -is injected. This parameter simply makes it easier to test the -convenience function properly.

    gof_model_test_class

    no need to change this parameter. Here the -class used for performing the GOF test (GOF_model_test) -is injected. This parameter simply makes it easier to test the -convenience function properly.

    - -

    Value

    - -

    instance of GOF_model_test

    - -

    Examples

    - 
    set.seed(1)
-N <- 100
-X1 <- rnorm(N)
-X2 <- rnorm(N)
-d <- data.frame(
-  y = rpois(n = N, lambda = exp(4 + X1 * 2 + X2 * 6)),
-  x1 = X1,
-  x2 = X2)
-fit <- glm(y ~ x1, data = d, family = poisson())
-mt <- GOF_model(
-  model = fit,
-  data = d,
-  nmb_boot_samples = 100,
-  simulator_type = "parametric",
-  y_name = "y",
-  Rn1_statistic = Rn1_KS$new())
-mt$get_pvalue()
    #> [1] 0
    fit <- glm(y ~ x1 + x2, data = d, family = poisson())
-mt <- GOF_model(
-  model = fit,
-  data = d,
-  nmb_boot_samples = 100,
-  simulator_type = "parametric",
-  y_name = "y",
-  Rn1_statistic = Rn1_KS$new())
-mt$get_pvalue()
    #> [1] 0.61
    -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model_info_extractor.html b/docs/reference/GOF_model_info_extractor.html deleted file mode 100644 index 2eea30b..0000000 --- a/docs/reference/GOF_model_info_extractor.html +++ /dev/null @@ -1,234 +0,0 @@ - - - - - - - - -R6 Class representing model information — GOF_model_info_extractor • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    R6 Class representing model information

    - Source: R/GOF_model_info_extractor.R - -
    - -
    -

    R6 does not offer interfaces. Hence all methods -are considered as abstract.

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method yhat()

    -

    Abstract function that estimates/predicts the - the dependent variable in model

    Usage

    -

    GOF_model_info_extractor$yhat(model)

    - -

    Arguments

    -

    -
    model

    fitted model

    - -

    -

    Returns

    -

    estimate/prediction of the dependent variable - fitted by model

    -

    -

    Method y_minus_yhat()

    -

    abstract function that calculates the residuals - on the scale of the dependent variable.

    Usage

    -

    GOF_model_info_extractor$y_minus_yhat(model)

    - -

    Arguments

    -

    -
    model

    fitted model

    - -

    -

    Returns

    -

    residuals on the scale of the dependent variable

    -

    -

    Method beta_x_covariates()

    -

    abstract function that calculates the inner product - of estimated parameters and the independent variables.

    Usage

    -

    GOF_model_info_extractor$beta_x_covariates(model)

    - -

    Arguments

    -

    -
    model

    fitted model

    - -

    -

    Returns

    -

    inner product of the estimated parameters and the - independent variables.

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_model_info_extractor$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model_resample.html b/docs/reference/GOF_model_resample.html deleted file mode 100644 index b133cc5..0000000 --- a/docs/reference/GOF_model_resample.html +++ /dev/null @@ -1,227 +0,0 @@ - - - - - - - - -R6 Class representing the resampling scheme for -Goodness-of-fit-tests for (linear) models — GOF_model_resample • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    R6 Class representing the resampling scheme for -Goodness-of-fit-tests for (linear) models

    - Source: R/GOF_model_resample.R - -
    - -
    -

    Class is able to resample model fit, i.e. generate a - new data set and refit the model to the new data.

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method new()

    - -

    Usage

    -

    GOF_model_resample$new(gof_model_simulator, gof_model_trainer)

    - -

    Arguments

    -

    -
    gof_model_simulator

    an instance that implements GOF_model_simulator

    - -
    gof_model_trainer

    an instance that implements GOF_model_trainer

    - -

    -

    Returns

    -

    No explicit return

    -

    -

    Method resample()

    -

    resamples the dependent variable in data and refits - model to that new data set

    Usage

    -

    GOF_model_resample$resample(model, data, y_name)

    - -

    Arguments

    -

    -
    model

    fitted model based on data

    - -
    data

    used to fit model

    - -
    y_name

    string specifying the name of the dependent variable

    - -

    -

    Returns

    -

    a resampled version of model

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_model_resample$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model_simulator.html b/docs/reference/GOF_model_simulator.html deleted file mode 100644 index c668dca..0000000 --- a/docs/reference/GOF_model_simulator.html +++ /dev/null @@ -1,205 +0,0 @@ - - - - - - - - -R6 Class representing a generator/resample of the dependent variable — GOF_model_simulator • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    R6 Class representing a generator/resample of the dependent variable

    - Source: R/GOF_model_simulator.R - -
    - -
    -

    R6 does not offer interfaces. Hence all methods - are considered as abstract.

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method resample_y()

    -

    Abstract function that resamples/generates - the dependent variable

    Usage

    -

    GOF_model_simulator$resample_y(model)

    - -

    Arguments

    -

    -
    model

    fitted model

    - -

    -

    Returns

    -

    generates the dependent variable according to - the model

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_model_simulator$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model_test.html b/docs/reference/GOF_model_test.html deleted file mode 100644 index 6fb09d3..0000000 --- a/docs/reference/GOF_model_test.html +++ /dev/null @@ -1,266 +0,0 @@ - - - - - - - - -R6 Class representing the Goodness-of-Fit test - for (linear) models. — GOF_model_test • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    R6 Class representing the Goodness-of-Fit test - for (linear) models.

    - Source: R/GOF_model_test.R - -
    - -
    -

    This class can test the null hypothesis that data follows - a particular linear model, i.e. classical linear models, generalized - linear models or models of the type \(m(\beta^\top X) + \epsilon\).

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method new()

    - -

    Usage

    -

    GOF_model_test$new(
-  model,
-  data,
-  nmb_boot_samples,
-  y_name,
-  Rn1_statistic,
-  gof_model_info_extractor,
-  gof_model_resample
-)

    - -

    Arguments

    -

    -
    model

    a fitted model

    - -
    data

    used to fit model

    - -
    nmb_boot_samples

    integer specifying the number of bootstrap -samples to perform

    - -
    y_name

    string specifying the name of the dependent variable in -in data

    - -
    Rn1_statistic

    statistic used to map the marked empirical -process to the real line. Needs to be an instance of the class -that implements Rn1_statistic

    - -
    gof_model_info_extractor

    an instance that implements -GOF_model_info_extractor in order to apply it to -model

    - -
    gof_model_resample

    an instance that implements -GOF_model_resample in order to apply it to -model

    - -

    -

    Returns

    -

    An instance of the Class

    -

    -

    Method get_Rn1_org()

    -

    calculates the marked empricial process for model

    Usage

    -

    GOF_model_test$get_Rn1_org()

    - -

    Returns

    -

    vector ordered by the inner product of the estimated - parameter and the independent variables

    -

    -

    Method get_Rn1_boot()

    -

    calculates the marked empricial process for the - resampled versions of model

    Usage

    -

    GOF_model_test$get_Rn1_boot()

    - -

    Returns

    -

    list of length nmb_boot_samples where every element - is a vector ordered by the inner product of the estimated - parameter and the dependent variables

    -

    -

    Method get_pvalue()

    -

    p-value for Goodness-of-Fit-test for model

    Usage

    -

    GOF_model_test$get_pvalue()

    - -

    Returns

    -

    p-value for the null hypothesis that the dependent variable - was generated according to model

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_model_test$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model_test_injector.html b/docs/reference/GOF_model_test_injector.html deleted file mode 100644 index df7468c..0000000 --- a/docs/reference/GOF_model_test_injector.html +++ /dev/null @@ -1,199 +0,0 @@ - - - - - - - - -Creates a GOF-model-test-class — GOF_model_test_injector • GOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Creates a GOF-model-test-class

    - Source: R/GOF_model_test_injector.R - -
    - -
    -

    Simplifies the creation of a GOF-model-test-class

    -
    - - 
    GOF_model_test_injector(
-  model,
-  data,
-  nmb_boot_samples,
-  simulator_type,
-  y_name,
-  Rn1_statistic,
-  gof_model_resample_class,
-  gof_model_test_class
-)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    model

    see GOF_model_test

    data

    see GOF_model_test

    nmb_boot_samples

    see GOF_model_test

    simulator_type

    see GOF_model

    y_name

    see GOF_model_test

    Rn1_statistic

    see GOF_model_test

    gof_model_resample_class

    GOF_model_resample class

    gof_model_test_class

    GOF_model_test class

    - -

    Value

    - -

    instance of GOF_model_test

    - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_model_trainer.html b/docs/reference/GOF_model_trainer.html deleted file mode 100644 index 6d5da6b..0000000 --- a/docs/reference/GOF_model_trainer.html +++ /dev/null @@ -1,206 +0,0 @@ - - - - - - - - -R6 Class representing a trainer for fitting models — GOF_model_trainer • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    R6 Class representing a trainer for fitting models

    - Source: R/GOF_model_trainer.R - -
    - -
    -

    R6 does not offer interfaces. Hence all methods -are considered as abstract.

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method refit()

    -

    Abstract function refits the model to - a new data set

    Usage

    -

    GOF_model_trainer$refit(model, data)

    - -

    Arguments

    -

    -
    model

    fitted model

    - -
    data

    used for refitting the model

    - -

    -

    Returns

    -

    model refitted on data

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_model_trainer$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
    - -
    -

    Site built with pkgdown 1.5.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/GOF_sim_wild_rademacher.html b/docs/reference/GOF_sim_wild_rademacher.html deleted file mode 100644 index 6dfd41b..0000000 --- a/docs/reference/GOF_sim_wild_rademacher.html +++ /dev/null @@ -1,222 +0,0 @@ - - - - - - - - -Implements the "interface" GOF_model_simulator - in a semi-parametric fashion — GOF_sim_wild_rademacher • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Implements the "interface" GOF_model_simulator - in a semi-parametric fashion

    - Source: R/GOF_model_simulator.R - -
    - -
    -

    This is a model agnostic resampling class, where -Rademacher random variables are used to add or substract -the residuals from the fitted values.

    -
    - - - -

    Methods

    - - -

    Public methods

    - - -

    -

    Method new()

    - -

    Usage

    -

    GOF_sim_wild_rademacher$new(gof_model_info_extractor)

    - -

    Arguments

    -

    -
    gof_model_info_extractor

    the info extractor that is used -to derive the residuals and fitted values for resampling.

    - -

    -

    -

    Method resample_y()

    -

    a wild bootstrap using Rademacher random - variables to resample the dependent variable

    Usage

    -

    GOF_sim_wild_rademacher$resample_y(model)

    - -

    Arguments

    -

    -
    model

    see GOF_model_simulator

    - -

    -

    Returns

    -

    see GOF_model_simulator

    -

    -

    Method clone()

    -

    The objects of this class are cloneable with this method.

    Usage

    -

    GOF_sim_wild_rademacher$clone(deep = FALSE)

    - -

    Arguments

    -

    -
    deep

    Whether to make a deep clone.

    - -

    - - - -
    - -
    - - -
    -
    -

    Developed by Marsel Scheer, Gerhard Dikta.

    -
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    Cramer-von-Mises-statistic for marked empirical - process

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    Implements the "interface" Rn1_statistic

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    Method calc_statistic()

    -

    calculates the calculates the Cramer-von-Mises - statistic

    Usage

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    Rn1_CvM$calc_statistic(Rn1)

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    Arguments

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    Rn1

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    Returns

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    see Rn1_statistic

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    Method clone()

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    The objects of this class are cloneable with this method.

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    Rn1_CvM$clone(deep = FALSE)

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    Arguments

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    Whether to make a deep clone.

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    Kolmogorov-Smirnov-statistic for marked empirical - process

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    Implements the "interface" Rn1_statistic

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    calculates the Kolmogorov-Smirnov-statistic

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    Rn1_KS$calc_statistic(Rn1)

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    Arguments

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    Rn1

    see Rn1_statistic

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    Returns

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    see Rn1_statistic

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    Method clone()

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    The objects of this class are cloneable with this method.

    Usage

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    Rn1_KS$clone(deep = FALSE)

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    Arguments

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    Whether to make a deep clone.

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    R6 Class representing statistics for marked - empirical processes

    - Source: R/Rn1_statistic.R - -
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    R6 does not offer interfaces. Hence all methods - are considered as abstract.

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    Methods

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    Method calc_statistic()

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    Abstract function that calculates the statistic - for a given marked empirical process

    Usage

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    Rn1_statistic$calc_statistic(Rn1)

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    Arguments

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    Rn1

    marked empirical process as a double vector

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    statistic based on Rn1

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    Method clone()

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    The objects of this class are cloneable with this method.

    Usage

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    Rn1_statistic$clone(deep = FALSE)

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    Arguments

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    Whether to make a deep clone.

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    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    GOF-tests

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    GOF_model()

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    Convenience function for creating a GOF-test for statistical models

    -

    GOF_model_test

    -

    R6 Class representing the Goodness-of-Fit test - for (linear) models.

    -

    Statistics for the marked empiricial process

    -

    -
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    Rn1_statistic

    -

    R6 Class representing statistics for marked - empirical processes

    -

    Rn1_CvM

    -

    Cramer-von-Mises-statistic for marked empirical - process

    -

    Rn1_KS

    -

    Kolmogorov-Smirnov-statistic for marked empirical - process

    -

    Class that holds the bootstrap resampling schema

    -

    -
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    GOF_model_resample

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    R6 Class representing the resampling scheme for -Goodness-of-fit-tests for (linear) models

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    Classes for generating/resampling dependent variable

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    GOF_model_simulator

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    R6 Class representing a generator/resample of the dependent variable

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    GOF_glm_sim_param

    -

    Implements the "interface" GOF_model_simulator for - for generalized linear models

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    GOF_lm_sim_param

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    Implements the "interface" GOF_model_simulator for - for linear models

    -

    GOF_sim_wild_rademacher

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    Implements the "interface" GOF_model_simulator - in a semi-parametric fashion

    -

    Classes for refitting a model

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    GOF_model_trainer

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    R6 Class representing a trainer for fitting models

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    GOF_glm_trainer

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    Implements the "interface" GOF_model_trainer for - for generalized linear models

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    GOF_lm_trainer

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    Implements the "interface" GOF_model_trainer for - for linear models

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    Classes extracting information from a model

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    -
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    GOF_model_info_extractor

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    R6 Class representing model information

    -

    GOF_glm_info_extractor

    -

    Implements the "interface" GOF_model_info_extractor for - for generalized linear models

    -

    GOF_lm_info_extractor

    -

    Implements the "interface" GOF_model_info_extractor - for linear models

    -
    - - -
    - - -
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    Developed by Marsel Scheer, Gerhard Dikta.

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    Site built with pkgdown 1.5.1.

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    - - - - - - - - diff --git a/docs/reference/not_covered.html b/docs/reference/not_covered.html deleted file mode 100644 index c39a481..0000000 --- a/docs/reference/not_covered.html +++ /dev/null @@ -1,156 +0,0 @@ - - - - - - - - -example of a function that is not covered by unit-tests — not_covered • GOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    example of a function that is not covered by unit-tests

    - Source: R/coverage-example.R - -
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    example of a function that is not covered by unit-tests

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    - - 
    not_covered()
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    Value

    - -

    no explicit return value

    - -

    Examples

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    not_covered()
    #> NULL
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    Developed by Marsel Scheer, Gerhard Dikta.

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    - - - - - - - - diff --git a/docs/reference/rrademacher.html b/docs/reference/rrademacher.html deleted file mode 100644 index b015d17..0000000 --- a/docs/reference/rrademacher.html +++ /dev/null @@ -1,180 +0,0 @@ - - - - - - - - -Generates Rademacher distributed random variables — rrademacher • bootGOF - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Generates Rademacher distributed random variables

    - Source: R/GOF_model_simulator.R - -
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    Generates Rademacher distributed random variables

    -
    - - 
    rrademacher(n)
    - -

    Arguments

    - - - - - - -
    n

    number of random variables to be generated

    - -

    Value

    - -

    vector of values following the Rademacher distribution

    - -
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    Developed by Marsel Scheer, Gerhard Dikta.

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    - - - - - - - - diff --git a/docs/sitemap.xml b/docs/sitemap.xml deleted file mode 100644 index 23b5876..0000000 --- a/docs/sitemap.xml +++ /dev/null @@ -1,63 +0,0 @@ - - - - http://MarselScheer.github.io/bootGOF/index.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_glm_info_extractor.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_glm_sim_param.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_glm_trainer.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_lm_info_extractor.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_lm_sim_param.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_lm_trainer.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_model.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_model_info_extractor.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_model_resample.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_model_simulator.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_model_test.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_model_trainer.html - - - http://MarselScheer.github.io/bootGOF/reference/GOF_sim_wild_rademacher.html - - - http://MarselScheer.github.io/bootGOF/reference/Rn1_CvM.html - - - http://MarselScheer.github.io/bootGOF/reference/Rn1_KS.html - - - http://MarselScheer.github.io/bootGOF/reference/Rn1_statistic.html - - - http://MarselScheer.github.io/bootGOF/reference/rrademacher.html - - - http://MarselScheer.github.io/bootGOF/articles/Architecture.html - - - http://MarselScheer.github.io/bootGOF/articles/New-Models.html - - From d2bbe5e6f98c18223444cce60c9e25016a1c10ed Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Sat, 4 Sep 2021 08:00:49 +0200 Subject: [PATCH 09/20] update R-version in renv.lock just called renv::init() in an R-4.1.0-console --- README.md | 50 ++++++++++++++++++++++++++++---------------------- renv.lock | 20 ++++---------------- 2 files changed, 32 insertions(+), 38 deletions(-) diff --git a/README.md b/README.md index 319bdbd..21f2338 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,19 @@ -[![Build -Status](https://travis-ci.org/MarselScheer/bootGOF.svg?branch=master)](https://travis-ci.org/MarselScheer/bootGOF) -[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental) +[![R build +status](https://github.com/MarselScheer/bootGOF/workflows/R-CMD-check/badge.svg)](https://github.com/MarselScheer/bootGOF/actions) +[![Coverage +Status](https://img.shields.io/codecov/c/github/MarselScheer/bootGOF/develop.svg)](https://codecov.io/github/MarselScheer/bootGOF?branch=develop) +[![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) [![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) -[![CRAN\_Status\_Badge\_version\_ago](https://www.r-pkg.org/badges/version-ago/bootGOF)](https://cran.r-project.org/package=bootGOF) +[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/bootGOF)](https://cran.r-project.org/package=bootGOF) [![metacran downloads](https://cranlogs.r-pkg.org/badges/bootGOF)](https://cran.r-project.org/package=bootGOF) [![license](https://img.shields.io/badge/license-GPL--3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html) -bootGOF -======= +# bootGOF Bootstrap based goodness-of-fit tests for (linear) models. Assume you have fitted a statistical model, e.g. classical linear model or @@ -21,8 +22,7 @@ generalized linear model or a model that follows rigorous statistical test to check if the chosen model family is correct. -Example -------- +## Example First we generate a data-set in order to apply the package. @@ -68,8 +68,7 @@ not be rejected by the GOF-test: … -Installation ------------- +## Installation You can install it from CRAN @@ -79,13 +78,20 @@ or github devtools::install_github("MarselScheer/bootGOF") -sessionInfo -=========== +## Tests + +After installing the package you can execute the unit tests of the +package in your environment by calling: + + library(tinytest) + tinytest::test_package("bootGOF") + +# sessionInfo sessionInfo() - #> R version 4.0.0 (2020-04-24) + #> R version 4.1.0 (2021-05-18) #> Platform: x86_64-pc-linux-gnu (64-bit) - #> Running under: Ubuntu 20.04 LTS + #> Running under: Ubuntu 20.04.2 LTS #> #> Matrix products: default #> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so @@ -99,17 +105,17 @@ sessionInfo #> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C #> #> attached base packages: - #> [1] stats graphics grDevices utils datasets methods base + #> [1] stats graphics grDevices datasets utils methods base #> #> other attached packages: - #> [1] badgecreatr_0.2.0 bootGOF_0.1.0.9000 + #> [1] bootGOF_0.1.0.9000 #> #> loaded via a namespace (and not attached): #> [1] knitr_1.29 magrittr_1.5 pkgload_1.1.0 R6_2.4.1 - #> [5] rlang_0.4.10 fansi_0.4.1 stringr_1.4.0 tools_4.0.0 + #> [5] rlang_0.4.10 fansi_0.4.1 stringr_1.4.0 tools_4.1.0 #> [9] pkgbuild_1.0.8 checkmate_2.0.0 xfun_0.15 cli_2.0.2 - #> [13] git2r_0.27.1 withr_2.4.1 htmltools_0.5.0 yaml_2.2.1 - #> [17] assertthat_0.2.1 rprojroot_1.3-2 digest_0.6.25 crayon_1.3.4 - #> [21] processx_3.4.3 callr_3.4.3 ps_1.3.3 testthat_2.3.2 - #> [25] glue_1.4.1 evaluate_0.14 rmarkdown_2.3 stringi_1.4.6 - #> [29] compiler_4.0.0 desc_1.2.0 backports_1.1.8 prettyunits_1.1.1 + #> [13] withr_2.4.1 htmltools_0.5.0 yaml_2.2.1 assertthat_0.2.1 + #> [17] rprojroot_1.3-2 digest_0.6.25 crayon_1.3.4 processx_3.4.3 + #> [21] callr_3.4.3 ps_1.3.3 testthat_2.3.2 glue_1.4.1 + #> [25] evaluate_0.14 rmarkdown_2.3 stringi_1.4.6 compiler_4.1.0 + #> [29] desc_1.2.0 backports_1.1.8 prettyunits_1.1.1 renv_0.14.0 diff --git a/renv.lock b/renv.lock index 44d3eb5..ad191ad 100644 --- a/renv.lock +++ b/renv.lock @@ -1,6 +1,6 @@ { "R": { - "Version": "4.0.0", + "Version": "4.1.0", "Repositories": [ { "Name": "CRAN", @@ -51,13 +51,6 @@ "Repository": "CRAN", "Hash": "3ef0eac19317fd03c0c854aed581d473" }, - "badgecreatr": { - "Package": "badgecreatr", - "Version": "0.2.0", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "5db59479f84ad4a0650e74a8d8edac70" - }, "base64enc": { "Package": "base64enc", "Version": "0.1-3", @@ -163,13 +156,6 @@ "Repository": "CRAN", "Hash": "8c04112383ca1988e96f429255f95675" }, - "git2r": { - "Package": "git2r", - "Version": "0.27.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "531a82d1beed1f545beb25f4f5945bf7" - }, "glue": { "Package": "glue", "Version": "1.4.1", @@ -362,7 +348,9 @@ "renv": { "Package": "renv", "Version": "0.14.0", - "Source": "Repository" + "Source": "Repository", + "Repository": "RSPM", + "Hash": "30e5eba91b67f7f4d75d31de14bbfbdc" }, "rex": { "Package": "rex", From 7fd430b56e1a1b132160142bf978c4fdeda14a10 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Mon, 6 Sep 2021 21:17:09 +0200 Subject: [PATCH 10/20] use covr to calculate percentage in ci. add manual covr-call to makefile --- .github/workflows/Features.yaml | 5 ++--- Makefile | 3 +++ 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/.github/workflows/Features.yaml b/.github/workflows/Features.yaml index 80e40a7..bc69692 100644 --- a/.github/workflows/Features.yaml +++ b/.github/workflows/Features.yaml @@ -50,9 +50,8 @@ jobs: run: | library(tinytest) roxygen2::roxygenize() - test_covr <- covr::package_coverage() - lowest_covr_value <- min(sapply(test_covr, "[[", "value")) - if (lowest_covr_value < 1) stop(sprintf("Coverage of %s (<1) too low", lowest_covr_value)) + test_covr <- covr::percent_coverage(covr::package_coverage()) + if (test_covr < 100) stop(sprintf("Coverage of %s (<100) too low", lowest_covr_value)) shell: Rscript {0} - name: Check diff --git a/Makefile b/Makefile index 2277b87..ec93c25 100644 --- a/Makefile +++ b/Makefile @@ -26,6 +26,9 @@ clean-cmd-check-files: test: NAMESPACE Rscript -e "pkgload::load_all(); tinytest::test_all()" +coverage: NAMESPACE + Rscript -e "pkgload::load_all(); covr::package_coverage(type = 'tests')" + lint: Rscript -e "library(tinytest); pkgload::load_all(); lintr::lint_package()" From d1e4b931a211ec1f58cf59922313530e0a3f7299 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Mon, 6 Sep 2021 21:18:12 +0200 Subject: [PATCH 11/20] rd-files are generated by roxygen --- man/GOF_glm_info_extractor.Rd | 106 -------------------------- man/GOF_glm_sim_param.Rd | 56 -------------- man/GOF_glm_trainer.Rd | 56 -------------- man/GOF_lm_info_extractor.Rd | 106 -------------------------- man/GOF_lm_sim_param.Rd | 58 -------------- man/GOF_lm_trainer.Rd | 56 -------------- man/GOF_model.Rd | 77 ------------------- man/GOF_model_info_extractor.Rd | 101 ------------------------- man/GOF_model_resample.Rd | 82 -------------------- man/GOF_model_simulator.Rd | 56 -------------- man/GOF_model_test.Rd | 130 -------------------------------- man/GOF_model_trainer.Rd | 57 -------------- man/GOF_sim_wild_rademacher.Rd | 75 ------------------ man/Rn1_CvM.Rd | 64 ---------------- man/Rn1_KS.Rd | 63 ---------------- man/Rn1_statistic.Rd | 56 -------------- man/rrademacher.Rd | 17 ----- 17 files changed, 1216 deletions(-) delete mode 100644 man/GOF_glm_info_extractor.Rd delete mode 100644 man/GOF_glm_sim_param.Rd delete mode 100644 man/GOF_glm_trainer.Rd delete mode 100644 man/GOF_lm_info_extractor.Rd delete mode 100644 man/GOF_lm_sim_param.Rd delete mode 100644 man/GOF_lm_trainer.Rd delete mode 100644 man/GOF_model.Rd delete mode 100644 man/GOF_model_info_extractor.Rd delete mode 100644 man/GOF_model_resample.Rd delete mode 100644 man/GOF_model_simulator.Rd delete mode 100644 man/GOF_model_test.Rd delete mode 100644 man/GOF_model_trainer.Rd delete mode 100644 man/GOF_sim_wild_rademacher.Rd delete mode 100644 man/Rn1_CvM.Rd delete mode 100644 man/Rn1_KS.Rd delete mode 100644 man/Rn1_statistic.Rd delete mode 100644 man/rrademacher.Rd diff --git a/man/GOF_glm_info_extractor.Rd b/man/GOF_glm_info_extractor.Rd deleted file mode 100644 index 6583b84..0000000 --- a/man/GOF_glm_info_extractor.Rd +++ /dev/null @@ -1,106 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_info_extractor.R -\name{GOF_glm_info_extractor} -\alias{GOF_glm_info_extractor} -\title{Implements the "interface" GOF_model_info_extractor for - for generalized linear models} -\description{ -This class is specialized in extracting various information - from an object of class "glm" -} -\section{Super class}{ -\code{\link[bootGOF:GOF_model_info_extractor]{bootGOF::GOF_model_info_extractor}} -> \code{GOF_glm_info_extractor} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-yhat}{\code{GOF_glm_info_extractor$yhat()}} -\item \href{#method-y_minus_yhat}{\code{GOF_glm_info_extractor$y_minus_yhat()}} -\item \href{#method-beta_x_covariates}{\code{GOF_glm_info_extractor$beta_x_covariates()}} -\item \href{#method-clone}{\code{GOF_glm_info_extractor$clone()}} -} -} -\if{html}{ -\out{
    Inherited methods} -\itemize{ -} -\out{
    } -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-yhat}{}}} -\subsection{Method \code{yhat()}}{ -see \link{GOF_model_info_extractor} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_info_extractor$yhat(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_info_extractor}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_info_extractor} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-y_minus_yhat}{}}} -\subsection{Method \code{y_minus_yhat()}}{ -see \link{GOF_model_info_extractor} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_info_extractor$y_minus_yhat(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_info_extractor}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_info_extractor} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-beta_x_covariates}{}}} -\subsection{Method \code{beta_x_covariates()}}{ -see \link{GOF_model_info_extractor} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_info_extractor$beta_x_covariates(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_info_extractor}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_info_extractor} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_info_extractor$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_glm_sim_param.Rd b/man/GOF_glm_sim_param.Rd deleted file mode 100644 index 23e4425..0000000 --- a/man/GOF_glm_sim_param.Rd +++ /dev/null @@ -1,56 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_simulator.R -\name{GOF_glm_sim_param} -\alias{GOF_glm_sim_param} -\title{Implements the "interface" GOF_model_simulator for - for generalized linear models} -\description{ -after the GLM was fitted the distribution of the - of the dependent variable is fully specified and used here - to generate new depenedent variables that follow \code{model} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-resample_y}{\code{GOF_glm_sim_param$resample_y()}} -\item \href{#method-clone}{\code{GOF_glm_sim_param$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-resample_y}{}}} -\subsection{Method \code{resample_y()}}{ -see \link{GOF_model_simulator} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_sim_param$resample_y(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_simulator}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_simulator} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_sim_param$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_glm_trainer.Rd b/man/GOF_glm_trainer.Rd deleted file mode 100644 index 57e1a19..0000000 --- a/man/GOF_glm_trainer.Rd +++ /dev/null @@ -1,56 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_trainer.R -\name{GOF_glm_trainer} -\alias{GOF_glm_trainer} -\title{Implements the "interface" GOF_model_trainer for - for generalized linear models} -\description{ -refits an object of class "glm" to a new data set -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-refit}{\code{GOF_glm_trainer$refit()}} -\item \href{#method-clone}{\code{GOF_glm_trainer$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-refit}{}}} -\subsection{Method \code{refit()}}{ -see \link{GOF_model_trainer} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_trainer$refit(model, data)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_trainer}} - -\item{\code{data}}{see \link{GOF_model_trainer}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_trainer} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_glm_trainer$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_lm_info_extractor.Rd b/man/GOF_lm_info_extractor.Rd deleted file mode 100644 index de0008e..0000000 --- a/man/GOF_lm_info_extractor.Rd +++ /dev/null @@ -1,106 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_info_extractor.R -\name{GOF_lm_info_extractor} -\alias{GOF_lm_info_extractor} -\title{Implements the "interface" GOF_model_info_extractor - for linear models} -\description{ -This class is specialized in extracting various information - from an object of class "lm" -} -\section{Super class}{ -\code{\link[bootGOF:GOF_model_info_extractor]{bootGOF::GOF_model_info_extractor}} -> \code{GOF_lm_info_extractor} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-yhat}{\code{GOF_lm_info_extractor$yhat()}} -\item \href{#method-y_minus_yhat}{\code{GOF_lm_info_extractor$y_minus_yhat()}} -\item \href{#method-beta_x_covariates}{\code{GOF_lm_info_extractor$beta_x_covariates()}} -\item \href{#method-clone}{\code{GOF_lm_info_extractor$clone()}} -} -} -\if{html}{ -\out{
    Inherited methods} -\itemize{ -} -\out{
    } -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-yhat}{}}} -\subsection{Method \code{yhat()}}{ -see \link{GOF_model_info_extractor} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_info_extractor$yhat(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_info_extractor}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_info_extractor} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-y_minus_yhat}{}}} -\subsection{Method \code{y_minus_yhat()}}{ -see \link{GOF_model_info_extractor} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_info_extractor$y_minus_yhat(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_info_extractor}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_info_extractor} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-beta_x_covariates}{}}} -\subsection{Method \code{beta_x_covariates()}}{ -see \link{GOF_model_info_extractor} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_info_extractor$beta_x_covariates(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_info_extractor}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_info_extractor} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_info_extractor$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_lm_sim_param.Rd b/man/GOF_lm_sim_param.Rd deleted file mode 100644 index 61a824b..0000000 --- a/man/GOF_lm_sim_param.Rd +++ /dev/null @@ -1,58 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_simulator.R -\name{GOF_lm_sim_param} -\alias{GOF_lm_sim_param} -\title{Implements the "interface" GOF_model_simulator for - for linear models} -\description{ -after the classical linear model was fitted the - normal distribution of the - of the dependent variable is fully specified and used here - to generate new depenedent variables that follow \code{model} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-resample_y}{\code{GOF_lm_sim_param$resample_y()}} -\item \href{#method-clone}{\code{GOF_lm_sim_param$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-resample_y}{}}} -\subsection{Method \code{resample_y()}}{ -generates/resamples the dependent variables based - on the parameteric nature defined by \code{model} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_sim_param$resample_y(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_simulator}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_simulator} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_sim_param$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_lm_trainer.Rd b/man/GOF_lm_trainer.Rd deleted file mode 100644 index c8b6c50..0000000 --- a/man/GOF_lm_trainer.Rd +++ /dev/null @@ -1,56 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_trainer.R -\name{GOF_lm_trainer} -\alias{GOF_lm_trainer} -\title{Implements the "interface" GOF_model_trainer for - for linear models} -\description{ -refits an object of class "lm" to a new data set -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-refit}{\code{GOF_lm_trainer$refit()}} -\item \href{#method-clone}{\code{GOF_lm_trainer$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-refit}{}}} -\subsection{Method \code{refit()}}{ -see \link{GOF_model_trainer} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_trainer$refit(model, data)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_trainer}} - -\item{\code{data}}{see \link{GOF_model_trainer}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_trainer} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_lm_trainer$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_model.Rd b/man/GOF_model.Rd deleted file mode 100644 index 0bbbaf3..0000000 --- a/man/GOF_model.Rd +++ /dev/null @@ -1,77 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model.R -\name{GOF_model} -\alias{GOF_model} -\title{Convenience function for creating a GOF-test for statistical models} -\usage{ -GOF_model( - model, - data, - nmb_boot_samples, - simulator_type, - y_name, - Rn1_statistic, - gof_model_resample_class = GOF_model_resample, - gof_model_test_class = GOF_model_test -) -} -\arguments{ -\item{model}{of class 'lm' or 'glm'. Caution with MASS::glm.nb, see -vignette 'New-Models' for more details.} - -\item{data}{see \link{GOF_model_test}} - -\item{nmb_boot_samples}{see \link{GOF_model_test}} - -\item{simulator_type}{either "parameteric" or "semi_parameteric_rademacher"} - -\item{y_name}{see \link{GOF_model_test}} - -\item{Rn1_statistic}{see \link{GOF_model_test}} - -\item{gof_model_resample_class}{no need to change this parameter. Here the -class used for resampling the model (\link{GOF_model_resample}) -is injected. This parameter simply makes it easier to test the -convenience function properly.} - -\item{gof_model_test_class}{no need to change this parameter. Here the -class used for performing the GOF test (\link{GOF_model_test}) -is injected. This parameter simply makes it easier to test the -convenience function properly.} -} -\value{ -instance of \link{GOF_model_test} -} -\description{ -Simplifies the creation of an instance of - \link{GOF_model_test}, the actual work horse for performing a - goodness-of-fit-test. -} -\examples{ -set.seed(1) -N <- 100 -X1 <- rnorm(N) -X2 <- rnorm(N) -d <- data.frame( - y = rpois(n = N, lambda = exp(4 + X1 * 2 + X2 * 6)), - x1 = X1, - x2 = X2) -fit <- glm(y ~ x1, data = d, family = poisson()) -mt <- GOF_model( - model = fit, - data = d, - nmb_boot_samples = 100, - simulator_type = "parametric", - y_name = "y", - Rn1_statistic = Rn1_KS$new()) -mt$get_pvalue() -fit <- glm(y ~ x1 + x2, data = d, family = poisson()) -mt <- GOF_model( - model = fit, - data = d, - nmb_boot_samples = 100, - simulator_type = "parametric", - y_name = "y", - Rn1_statistic = Rn1_KS$new()) -mt$get_pvalue() -} diff --git a/man/GOF_model_info_extractor.Rd b/man/GOF_model_info_extractor.Rd deleted file mode 100644 index d6cb296..0000000 --- a/man/GOF_model_info_extractor.Rd +++ /dev/null @@ -1,101 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_info_extractor.R -\name{GOF_model_info_extractor} -\alias{GOF_model_info_extractor} -\title{R6 Class representing model information} -\description{ -R6 does not offer interfaces. Hence all methods -are considered as abstract. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-yhat}{\code{GOF_model_info_extractor$yhat()}} -\item \href{#method-y_minus_yhat}{\code{GOF_model_info_extractor$y_minus_yhat()}} -\item \href{#method-beta_x_covariates}{\code{GOF_model_info_extractor$beta_x_covariates()}} -\item \href{#method-clone}{\code{GOF_model_info_extractor$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-yhat}{}}} -\subsection{Method \code{yhat()}}{ -Abstract function that estimates/predicts the - the dependent variable in \code{model} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_info_extractor$yhat(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{fitted model} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -estimate/prediction of the dependent variable - fitted by \code{model} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-y_minus_yhat}{}}} -\subsection{Method \code{y_minus_yhat()}}{ -abstract function that calculates the residuals - on the scale of the dependent variable. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_info_extractor$y_minus_yhat(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{fitted model} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -residuals on the scale of the dependent variable -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-beta_x_covariates}{}}} -\subsection{Method \code{beta_x_covariates()}}{ -abstract function that calculates the inner product - of estimated parameters and the independent variables. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_info_extractor$beta_x_covariates(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{fitted model} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -inner product of the estimated parameters and the - independent variables. -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_info_extractor$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_model_resample.Rd b/man/GOF_model_resample.Rd deleted file mode 100644 index 09141c0..0000000 --- a/man/GOF_model_resample.Rd +++ /dev/null @@ -1,82 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_resample.R -\name{GOF_model_resample} -\alias{GOF_model_resample} -\title{R6 Class representing the resampling scheme for -Goodness-of-fit-tests for (linear) models} -\description{ -Class is able to resample model fit, i.e. generate a - new data set and refit the model to the new data. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{GOF_model_resample$new()}} -\item \href{#method-resample}{\code{GOF_model_resample$resample()}} -\item \href{#method-clone}{\code{GOF_model_resample$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-new}{}}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_resample$new(gof_model_simulator, gof_model_trainer)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{gof_model_simulator}}{an instance that implements \link{GOF_model_simulator}} - -\item{\code{gof_model_trainer}}{an instance that implements \link{GOF_model_trainer}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -No explicit return -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-resample}{}}} -\subsection{Method \code{resample()}}{ -resamples the dependent variable in \code{data} and refits - \code{model} to that new data set -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_resample$resample(model, data, y_name)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{fitted model based on \code{data}} - -\item{\code{data}}{used to fit \code{model}} - -\item{\code{y_name}}{string specifying the name of the dependent variable} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -a resampled version of \code{model} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_resample$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_model_simulator.Rd b/man/GOF_model_simulator.Rd deleted file mode 100644 index 28eff07..0000000 --- a/man/GOF_model_simulator.Rd +++ /dev/null @@ -1,56 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_simulator.R -\name{GOF_model_simulator} -\alias{GOF_model_simulator} -\title{R6 Class representing a generator/resample of the dependent variable} -\description{ -R6 does not offer interfaces. Hence all methods - are considered as abstract. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-resample_y}{\code{GOF_model_simulator$resample_y()}} -\item \href{#method-clone}{\code{GOF_model_simulator$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-resample_y}{}}} -\subsection{Method \code{resample_y()}}{ -Abstract function that resamples/generates - the dependent variable -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_simulator$resample_y(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{fitted model} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -generates the dependent variable according to - the \code{model} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_simulator$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_model_test.Rd b/man/GOF_model_test.Rd deleted file mode 100644 index 20c7baf..0000000 --- a/man/GOF_model_test.Rd +++ /dev/null @@ -1,130 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_test.R -\name{GOF_model_test} -\alias{GOF_model_test} -\title{R6 Class representing the Goodness-of-Fit test - for (linear) models.} -\description{ -This class can test the null hypothesis that data follows - a particular linear model, i.e. classical linear models, generalized - linear models or models of the type \eqn{m(\beta^\top X) + \epsilon}. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{GOF_model_test$new()}} -\item \href{#method-get_Rn1_org}{\code{GOF_model_test$get_Rn1_org()}} -\item \href{#method-get_Rn1_boot}{\code{GOF_model_test$get_Rn1_boot()}} -\item \href{#method-get_pvalue}{\code{GOF_model_test$get_pvalue()}} -\item \href{#method-clone}{\code{GOF_model_test$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-new}{}}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_test$new( - model, - data, - nmb_boot_samples, - y_name, - Rn1_statistic, - gof_model_info_extractor, - gof_model_resample -)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{a fitted model} - -\item{\code{data}}{used to fit \code{model}} - -\item{\code{nmb_boot_samples}}{integer specifying the number of bootstrap -samples to perform} - -\item{\code{y_name}}{string specifying the name of the dependent variable in -in \code{data}} - -\item{\code{Rn1_statistic}}{statistic used to map the marked empirical -process to the real line. Needs to be an instance of the class -that implements \link{Rn1_statistic}} - -\item{\code{gof_model_info_extractor}}{an instance that implements -\link{GOF_model_info_extractor} in order to apply it to -\code{model}} - -\item{\code{gof_model_resample}}{an instance that implements -\link{GOF_model_resample} in order to apply it to -\code{model}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -An instance of the Class -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-get_Rn1_org}{}}} -\subsection{Method \code{get_Rn1_org()}}{ -calculates the marked empricial process for \code{model} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_test$get_Rn1_org()}\if{html}{\out{
    }} -} - -\subsection{Returns}{ -vector ordered by the inner product of the estimated - parameter and the independent variables -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-get_Rn1_boot}{}}} -\subsection{Method \code{get_Rn1_boot()}}{ -calculates the marked empricial process for the - resampled versions of \code{model} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_test$get_Rn1_boot()}\if{html}{\out{
    }} -} - -\subsection{Returns}{ -list of length \code{nmb_boot_samples} where every element - is a vector ordered by the inner product of the estimated - parameter and the dependent variables -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-get_pvalue}{}}} -\subsection{Method \code{get_pvalue()}}{ -p-value for Goodness-of-Fit-test for \code{model} -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_test$get_pvalue()}\if{html}{\out{
    }} -} - -\subsection{Returns}{ -p-value for the null hypothesis that the dependent variable - was generated according to \code{model} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_test$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_model_trainer.Rd b/man/GOF_model_trainer.Rd deleted file mode 100644 index e05898e..0000000 --- a/man/GOF_model_trainer.Rd +++ /dev/null @@ -1,57 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_trainer.R -\name{GOF_model_trainer} -\alias{GOF_model_trainer} -\title{R6 Class representing a trainer for fitting models} -\description{ -R6 does not offer interfaces. Hence all methods -are considered as abstract. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-refit}{\code{GOF_model_trainer$refit()}} -\item \href{#method-clone}{\code{GOF_model_trainer$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-refit}{}}} -\subsection{Method \code{refit()}}{ -Abstract function refits the model to - a new data set -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_trainer$refit(model, data)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{fitted model} - -\item{\code{data}}{used for refitting the model} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -\code{model} refitted on \code{data} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_model_trainer$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/GOF_sim_wild_rademacher.Rd b/man/GOF_sim_wild_rademacher.Rd deleted file mode 100644 index 17cbdcf..0000000 --- a/man/GOF_sim_wild_rademacher.Rd +++ /dev/null @@ -1,75 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_simulator.R -\name{GOF_sim_wild_rademacher} -\alias{GOF_sim_wild_rademacher} -\title{Implements the "interface" GOF_model_simulator - in a semi-parametric fashion} -\description{ -This is a model agnostic resampling class, where -Rademacher random variables are used to add or substract -the residuals from the fitted values. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-new}{\code{GOF_sim_wild_rademacher$new()}} -\item \href{#method-resample_y}{\code{GOF_sim_wild_rademacher$resample_y()}} -\item \href{#method-clone}{\code{GOF_sim_wild_rademacher$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-new}{}}} -\subsection{Method \code{new()}}{ -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_sim_wild_rademacher$new(gof_model_info_extractor)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{gof_model_info_extractor}}{the info extractor that is used -to derive the residuals and fitted values for resampling.} -} -\if{html}{\out{
    }} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-resample_y}{}}} -\subsection{Method \code{resample_y()}}{ -a wild bootstrap using Rademacher random - variables to resample the dependent variable -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_sim_wild_rademacher$resample_y(model)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{model}}{see \link{GOF_model_simulator}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{GOF_model_simulator} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{GOF_sim_wild_rademacher$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/Rn1_CvM.Rd b/man/Rn1_CvM.Rd deleted file mode 100644 index 872138c..0000000 --- a/man/Rn1_CvM.Rd +++ /dev/null @@ -1,64 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/Rn1_statistic.R -\name{Rn1_CvM} -\alias{Rn1_CvM} -\title{Cramer-von-Mises-statistic for marked empirical - process} -\description{ -Implements the "interface" Rn1_statistic -} -\section{Super class}{ -\code{\link[bootGOF:Rn1_statistic]{bootGOF::Rn1_statistic}} -> \code{Rn1_CvM} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-calc_statistic}{\code{Rn1_CvM$calc_statistic()}} -\item \href{#method-clone}{\code{Rn1_CvM$clone()}} -} -} -\if{html}{ -\out{
    Inherited methods} -\itemize{ -} -\out{
    } -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-calc_statistic}{}}} -\subsection{Method \code{calc_statistic()}}{ -calculates the calculates the Cramer-von-Mises - statistic -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{Rn1_CvM$calc_statistic(Rn1)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{Rn1}}{see \link{Rn1_statistic}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{Rn1_statistic} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{Rn1_CvM$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/Rn1_KS.Rd b/man/Rn1_KS.Rd deleted file mode 100644 index 994040f..0000000 --- a/man/Rn1_KS.Rd +++ /dev/null @@ -1,63 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/Rn1_statistic.R -\name{Rn1_KS} -\alias{Rn1_KS} -\title{Kolmogorov-Smirnov-statistic for marked empirical - process} -\description{ -Implements the "interface" Rn1_statistic -} -\section{Super class}{ -\code{\link[bootGOF:Rn1_statistic]{bootGOF::Rn1_statistic}} -> \code{Rn1_KS} -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-calc_statistic}{\code{Rn1_KS$calc_statistic()}} -\item \href{#method-clone}{\code{Rn1_KS$clone()}} -} -} -\if{html}{ -\out{
    Inherited methods} -\itemize{ -} -\out{
    } -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-calc_statistic}{}}} -\subsection{Method \code{calc_statistic()}}{ -calculates the Kolmogorov-Smirnov-statistic -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{Rn1_KS$calc_statistic(Rn1)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{Rn1}}{see \link{Rn1_statistic}} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -see \link{Rn1_statistic} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{Rn1_KS$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/Rn1_statistic.Rd b/man/Rn1_statistic.Rd deleted file mode 100644 index 101f403..0000000 --- a/man/Rn1_statistic.Rd +++ /dev/null @@ -1,56 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/Rn1_statistic.R -\name{Rn1_statistic} -\alias{Rn1_statistic} -\title{R6 Class representing statistics for marked - empirical processes} -\description{ -R6 does not offer interfaces. Hence all methods - are considered as abstract. -} -\section{Methods}{ -\subsection{Public methods}{ -\itemize{ -\item \href{#method-calc_statistic}{\code{Rn1_statistic$calc_statistic()}} -\item \href{#method-clone}{\code{Rn1_statistic$clone()}} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-calc_statistic}{}}} -\subsection{Method \code{calc_statistic()}}{ -Abstract function that calculates the statistic - for a given marked empirical process -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{Rn1_statistic$calc_statistic(Rn1)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{Rn1}}{marked empirical process as a double vector} -} -\if{html}{\out{
    }} -} -\subsection{Returns}{ -statistic based on \code{Rn1} -} -} -\if{html}{\out{
    }} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} -\subsection{Method \code{clone()}}{ -The objects of this class are cloneable with this method. -\subsection{Usage}{ -\if{html}{\out{
    }}\preformatted{Rn1_statistic$clone(deep = FALSE)}\if{html}{\out{
    }} -} - -\subsection{Arguments}{ -\if{html}{\out{
    }} -\describe{ -\item{\code{deep}}{Whether to make a deep clone.} -} -\if{html}{\out{
    }} -} -} -} diff --git a/man/rrademacher.Rd b/man/rrademacher.Rd deleted file mode 100644 index c7c9bd4..0000000 --- a/man/rrademacher.Rd +++ /dev/null @@ -1,17 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/GOF_model_simulator.R -\name{rrademacher} -\alias{rrademacher} -\title{Generates Rademacher distributed random variables} -\usage{ -rrademacher(n) -} -\arguments{ -\item{n}{number of random variables to be generated} -} -\value{ -vector of values following the Rademacher distribution -} -\description{ -Generates Rademacher distributed random variables -} From 44aea70dce7bfbeef83f043de1316aee49c90062 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Wed, 20 Aug 2025 19:41:51 +0200 Subject: [PATCH 12/20] update packages and docker container to reproduce error from cran --- DESCRIPTION | 2 +- bootGOF.Rproj | 1 + docker/Dockerfile | 2 +- docker/start.sh | 4 +- renv.lock | 382 ++++++++++++++++++++++++++-------------------- 5 files changed, 223 insertions(+), 168 deletions(-) mode change 100644 => 100755 docker/start.sh diff --git a/DESCRIPTION b/DESCRIPTION index 9ca4f0a..aaae557 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -28,7 +28,7 @@ Imports: R6 (>= 2.4.1) License: GPL-3 Encoding: UTF-8 -RoxygenNote: 7.1.0 +RoxygenNote: 7.3.2 URL: https://github.com/MarselScheer/bootGOF BugReports: https://github.com/MarselScheer/bootGOF/issues Suggests: diff --git a/bootGOF.Rproj b/bootGOF.Rproj index bd6006f..aa6b2b9 100644 --- a/bootGOF.Rproj +++ b/bootGOF.Rproj @@ -15,3 +15,4 @@ LaTeX: pdfLaTeX BuildType: Package PackageUseDevtools: Yes PackageInstallArgs: --no-multiarch --with-keep.source +PackageCheckArgs: --no-manual --as-cran diff --git a/docker/Dockerfile b/docker/Dockerfile index 4e6690f..67f8f12 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,4 +1,4 @@ -FROM rocker/verse:4.1.0 +FROM rocker/tidyverse:devel RUN apt-get update && apt-get install -y \ ranger \ diff --git a/docker/start.sh b/docker/start.sh old mode 100644 new mode 100755 index c4cf196..0fefb55 --- a/docker/start.sh +++ b/docker/start.sh @@ -1,4 +1,4 @@ -sudo docker run --rm -d -p 8787:8787 -e DISABLE_AUTH=true \ +sudo docker run -d -p 8787:8787 -e DISABLE_AUTH=true \ -v ~/docker_fs:/tmp/hostfs \ -v /tmp/.X11-unix:/tmp/.X11-unix \ - rstudio_emacs:4.1.0 + rstudio_emacs:devel diff --git a/renv.lock b/renv.lock index ad191ad..5dd2b2e 100644 --- a/renv.lock +++ b/renv.lock @@ -1,6 +1,6 @@ { "R": { - "Version": "4.1.0", + "Version": "4.6.0", "Repositories": [ { "Name": "CRAN", @@ -11,45 +11,31 @@ "Packages": { "MASS": { "Package": "MASS", - "Version": "7.3-51.6", + "Version": "7.3-65", "Source": "Repository", "Repository": "CRAN", - "Hash": "1dad32ac9dbd8057167b2979fb932ff7" + "Hash": "a41d0fc833ea756a1136b60a437efe26" }, "R6": { "Package": "R6", - "Version": "2.4.1", + "Version": "2.6.1", "Source": "Repository", "Repository": "CRAN", - "Hash": "292b54f8f4b94669b08f94e5acce6be2" - }, - "Rcpp": { - "Package": "Rcpp", - "Version": "1.0.4.6", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "e652f23d8b1807cc975c51410d05b72f" + "Hash": "d4335fe7207f1c01ab8c41762f5840d4" }, "askpass": { "Package": "askpass", - "Version": "1.1", - "Source": "Repository", - "Repository": "CRAN", - "Hash": "e8a22846fff485f0be3770c2da758713" - }, - "assertthat": { - "Package": "assertthat", - "Version": "0.2.1", + "Version": "1.2.1", "Source": "Repository", "Repository": "CRAN", - "Hash": "50c838a310445e954bc13f26f26a6ecf" + "Hash": "c39f4155b3ceb1a9a2799d700fbd4b6a" }, "backports": { "Package": "backports", - "Version": "1.1.8", + "Version": "1.5.0", "Source": "Repository", "Repository": "CRAN", - "Hash": "3ef0eac19317fd03c0c854aed581d473" + "Hash": "e1e1b9d75c37401117b636b7ae50827a" }, "base64enc": { "Package": "base64enc", @@ -60,150 +46,206 @@ }, "brew": { "Package": "brew", - "Version": "1.0-6", + "Version": "1.0-10", + "Source": "Repository", + "Repository": "CRAN", + "Hash": "8f4a384e19dccd8c65356dc096847b76" + }, + "brio": { + "Package": "brio", + "Version": "1.1.5", + "Source": "Repository", + "Repository": "CRAN", + "Hash": "c1ee497a6d999947c2c224ae46799b1a" + }, + "bslib": { + "Package": "bslib", + "Version": "0.9.0", + "Source": "Repository", + "Repository": "CRAN", + "Hash": "70a6489cc254171fb9b4a7f130f44dca" + }, + "cachem": { + "Package": "cachem", + "Version": "1.1.0", "Source": "Repository", "Repository": "CRAN", - 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"Version": "0.15", + "Version": "0.53", "Source": "Repository", "Repository": "CRAN", - "Hash": "ddeca7650052ff9131ac7c41a9a77b3b" + "Hash": "1befe97a0d56060b3964e3986d408df9" }, "xml2": { "Package": "xml2", - "Version": "1.3.2", + "Version": "1.3.8", "Source": "Repository", "Repository": "CRAN", - "Hash": "d4d71a75dd3ea9eb5fa28cc21f9585e2" + "Hash": "f5130b2f3d461964bac93cc618013231" }, "yaml": { "Package": "yaml", - "Version": "2.2.1", + "Version": "2.3.10", "Source": "Repository", "Repository": "CRAN", - "Hash": "2826c5d9efb0a88f657c7a679c7106db" + "Hash": "51dab85c6c98e50a18d7551e9d49f76c" } } } From 7da82c20e92777249af6483e14b92965b8179eed Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 21 Aug 2025 08:44:07 +0200 Subject: [PATCH 13/20] update versions of action in CI (except for pkgdown wf) --- .github/workflows/Features.yaml | 8 ++++---- .github/workflows/R-CMD-check.yaml | 8 ++++---- .github/workflows/Test-coverage.yaml | 8 ++++---- 3 files changed, 12 insertions(+), 12 deletions(-) diff --git a/.github/workflows/Features.yaml b/.github/workflows/Features.yaml index bc69692..9b8ea6f 100644 --- a/.github/workflows/Features.yaml +++ b/.github/workflows/Features.yaml @@ -25,17 +25,17 @@ jobs: CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v5 - - uses: r-lib/actions/setup-pandoc@v1 + - uses: r-lib/actions/setup-pandoc@v2 - - uses: r-lib/actions/setup-r@v1 + - uses: r-lib/actions/setup-r@v2 with: r-version: ${{ matrix.config.r }} http-user-agent: ${{ matrix.config.http-user-agent }} use-public-rspm: true - - uses: r-lib/actions/setup-r-dependencies@v1 + - uses: r-lib/actions/setup-r-dependencies@v2 with: extra-packages: rcmdcheck, covr, tinytest, lintr diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml index 79b429e..d46f42d 100644 --- a/.github/workflows/R-CMD-check.yaml +++ b/.github/workflows/R-CMD-check.yaml @@ -29,17 +29,17 @@ jobs: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v5 - - uses: r-lib/actions/setup-pandoc@v1 + - uses: r-lib/actions/setup-pandoc@v2 - - uses: r-lib/actions/setup-r@v1 + - uses: r-lib/actions/setup-r@v2 with: r-version: ${{ matrix.config.r }} http-user-agent: ${{ matrix.config.http-user-agent }} use-public-rspm: true - - uses: r-lib/actions/setup-r-dependencies@v1 + - uses: r-lib/actions/setup-r-dependencies@v2 with: extra-packages: rcmdcheck diff --git a/.github/workflows/Test-coverage.yaml b/.github/workflows/Test-coverage.yaml index 46b8a53..4b769ff 100644 --- a/.github/workflows/Test-coverage.yaml +++ b/.github/workflows/Test-coverage.yaml @@ -24,17 +24,17 @@ jobs: CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v5 - - uses: r-lib/actions/setup-pandoc@v1 + - uses: r-lib/actions/setup-pandoc@v2 - - uses: r-lib/actions/setup-r@v1 + - uses: r-lib/actions/setup-r@v2 with: r-version: ${{ matrix.config.r }} http-user-agent: ${{ matrix.config.http-user-agent }} use-public-rspm: true - - uses: r-lib/actions/setup-r-dependencies@v1 + - uses: r-lib/actions/setup-r-dependencies@v2 with: extra-packages: covr, tinytest From 09f8421862ff79ee270809d71ef4c9b874e8fdf7 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 21 Aug 2025 08:56:16 +0200 Subject: [PATCH 14/20] deactivate linting for now --- .github/workflows/Features.yaml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/Features.yaml b/.github/workflows/Features.yaml index 9b8ea6f..7157d34 100644 --- a/.github/workflows/Features.yaml +++ b/.github/workflows/Features.yaml @@ -39,12 +39,12 @@ jobs: with: extra-packages: rcmdcheck, covr, tinytest, lintr - - name: Lint - run: | - library(tinytest) - out <- lintr::lint_dir() - if (0 < length(out)) stop("Linting failure") else print("Linting successful") - shell: Rscript {0} + # - name: Lint + # run: | + # library(tinytest) + # out <- lintr::lint_dir() + # if (0 < length(out)) stop("Linting failure") else print("Linting successful") + # shell: Rscript {0} - name: Coverage run: | From 3427369a2ec3813d552342c519e995a2c17c9e74 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 21 Aug 2025 09:03:35 +0200 Subject: [PATCH 15/20] fix cran warning/note --- NAMESPACE | 1 + R/GOF_model_trainer.R | 4 ++++ 2 files changed, 5 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index fe19901..2828b09 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -16,3 +16,4 @@ export(GOF_sim_wild_rademacher) export(Rn1_CvM) export(Rn1_KS) export(Rn1_statistic) +importFrom(R6,R6Class) diff --git a/R/GOF_model_trainer.R b/R/GOF_model_trainer.R index 0e1ee8c..cadd5a2 100644 --- a/R/GOF_model_trainer.R +++ b/R/GOF_model_trainer.R @@ -2,6 +2,10 @@ ##' ##' @description R6 does not offer interfaces. Hence all methods ##' are considered as abstract. +##' @importFrom R6 R6Class +##' According to https://roxygen2.r-lib.org/articles/namespace.html#imports +##' the above R6Class import is not necessary but we need it to +##' get rid of a warning from the CRAN check :-( ##' @export GOF_model_trainer <- R6::R6Class( # nolint classname = "GOF_model_trainer", From 162a1c434968a8240c9a6c0b2c4954449b41d8ff Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 21 Aug 2025 09:14:18 +0200 Subject: [PATCH 16/20] fix pkgdown upfront because few month ago this also had to be done for simTool --- .github/workflows/pkgdown.yaml | 30 +++++++++++++++++------------- 1 file changed, 17 insertions(+), 13 deletions(-) diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml index bbffba2..9b1e65c 100644 --- a/.github/workflows/pkgdown.yaml +++ b/.github/workflows/pkgdown.yaml @@ -1,5 +1,4 @@ -# Workflow derived from https://github.com/r-lib/actions/tree/master/examples -# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help +# Workflow copied from simTool (which copied it from dplyr) on: push: branches: [develop] @@ -12,22 +11,27 @@ jobs: env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v5 - - uses: r-lib/actions/setup-pandoc@v1 + - uses: r-lib/actions/setup-pandoc@v2 - - uses: r-lib/actions/setup-r@v1 + - uses: r-lib/actions/setup-r@v2 with: use-public-rspm: true - - uses: r-lib/actions/setup-r-dependencies@v1 + - uses: r-lib/actions/setup-r-dependencies@v2 with: - extra-packages: pkgdown + extra-packages: any::pkgdown, local::. needs: website - - name: Deploy package - run: | - git config --local user.name "$GITHUB_ACTOR" - git config --local user.email "$GITHUB_ACTOR@users.noreply.github.com" - Rscript -e "roxygen2::roxygenize()" - Rscript -e 'pkgdown::deploy_to_branch(new_process = FALSE)' + - name: Build site + run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE) + shell: Rscript {0} + + - name: Deploy to GitHub pages 🚀 + if: github.event_name != 'pull_request' + uses: JamesIves/github-pages-deploy-action@v4.5.0 + with: + clean: false + branch: gh-pages + folder: docs From c95829e814db84036c53d33e9d3889eed5944a5b Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 21 Aug 2025 09:22:10 +0200 Subject: [PATCH 17/20] update news --- NEWS.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index 3df1c22..43aeb85 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,7 +1,7 @@ Version 0.1.0.9000 ========================= -* placeholder for next development cycle +* fix a warning/note that appears due to cran-checks. Actually I followed roxygen2 documentation about the imports, however the R-cmd-check of cran complains, so a uneccessary import was added to the rd-files. Version 0.1.0 ========================= From 41a4990e79bf57fc0baa23b62d835d643a519338 Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Fri, 22 Aug 2025 14:10:17 +0200 Subject: [PATCH 18/20] solve misc problems with creating pkgdown --- .github/workflows/pkgdown.yaml | 4 ++-- Makefile | 2 +- R/GOF_model_simulator.R | 1 + R/GOF_model_trainer.R | 4 ++-- _pkgdown.yml | 3 +-- 5 files changed, 7 insertions(+), 7 deletions(-) diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml index 9b1e65c..796e3d0 100644 --- a/.github/workflows/pkgdown.yaml +++ b/.github/workflows/pkgdown.yaml @@ -25,8 +25,8 @@ jobs: needs: website - name: Build site - run: pkgdown::build_site_github_pages(new_process = FALSE, install = FALSE) - shell: Rscript {0} + run: make pkgdown + shell: bash - name: Deploy to GitHub pages 🚀 if: github.event_name != 'pull_request' diff --git a/Makefile b/Makefile index ec93c25..878a61b 100644 --- a/Makefile +++ b/Makefile @@ -33,7 +33,7 @@ lint: Rscript -e "library(tinytest); pkgload::load_all(); lintr::lint_package()" pkgdown: NAMESPACE - Rscript -e "library(pkgdown); pkgdown::build_site()" + Rscript -e "library(pkgdown); pkgdown::build_site_github_pages(new_process=FALSE, install=FALSE)" README: Rscript -e "pkgload::load_all(); rmarkdown::render(input='README.Rmd', output_format='md_document')" diff --git a/R/GOF_model_simulator.R b/R/GOF_model_simulator.R index 748cce8..dd52d6e 100644 --- a/R/GOF_model_simulator.R +++ b/R/GOF_model_simulator.R @@ -38,6 +38,7 @@ GOF_lm_sim_param <- R6::R6Class( # nolint ##' ##' @param n number of random variables to be generated ##' @return vector of values following the Rademacher distribution +##' @keywords internal rrademacher <- function(n) { ret <- 2 * stats::rbinom(n = n, size = 1, prob = 0.5) - 1 return(ret) diff --git a/R/GOF_model_trainer.R b/R/GOF_model_trainer.R index cadd5a2..00538ca 100644 --- a/R/GOF_model_trainer.R +++ b/R/GOF_model_trainer.R @@ -2,10 +2,10 @@ ##' ##' @description R6 does not offer interfaces. Hence all methods ##' are considered as abstract. -##' @importFrom R6 R6Class ##' According to https://roxygen2.r-lib.org/articles/namespace.html#imports -##' the above R6Class import is not necessary but we need it to +##' the R6Class import below is not necessary but we need it to ##' get rid of a warning from the CRAN check :-( +##' @importFrom R6 R6Class ##' @export GOF_model_trainer <- R6::R6Class( # nolint classname = "GOF_model_trainer", diff --git a/_pkgdown.yml b/_pkgdown.yml index 84d0262..601ad3f 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -2,8 +2,7 @@ destination: docs title: bootGOF url: http://MarselScheer.github.io/bootGOF template: - params: - bootswatch: flatly + bootstrap: 5 reference: - title: "GOF-tests" - desc: > From 2cd80093ace1818e5d4b37eae7e6759a61f56c6e Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Mon, 25 Aug 2025 16:27:40 +0200 Subject: [PATCH 19/20] update version in DESCRIPTION and NEWS --- DESCRIPTION | 2 +- NEWS.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index aaae557..5818fc8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: bootGOF Title: Bootstrap Based Goodness-of-Fit Tests -Version: 0.1.0.9000 +Version: 0.1.1 Authors@R: c(person(given = "Marsel", family = "Scheer", diff --git a/NEWS.md b/NEWS.md index 43aeb85..c3cc523 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -Version 0.1.0.9000 +Version 0.1.1 ========================= * fix a warning/note that appears due to cran-checks. Actually I followed roxygen2 documentation about the imports, however the R-cmd-check of cran complains, so a uneccessary import was added to the rd-files. From 4c124557d17a730d8d8c96c2fc3d89de4192265e Mon Sep 17 00:00:00 2001 From: Marsel Scheer Date: Thu, 28 Aug 2025 17:55:43 +0200 Subject: [PATCH 20/20] correct link to coverage report --- README.Rmd | 2 +- README.md | 32 +++++++++++++++++--------------- 2 files changed, 18 insertions(+), 16 deletions(-) diff --git a/README.Rmd b/README.Rmd index 1112838..6f8e167 100644 --- a/README.Rmd +++ b/README.Rmd @@ -14,7 +14,7 @@ knitr::opts_chunk$set( [![R build status](https://github.com/MarselScheer/bootGOF/workflows/R-CMD-check/badge.svg)](https://github.com/MarselScheer/bootGOF/actions) -[![Coverage Status](https://img.shields.io/codecov/c/github/MarselScheer/bootGOF/develop.svg)](https://codecov.io/github/MarselScheer/bootGOF?branch=develop) +[![Coverage Status](https://img.shields.io/codecov/c/github/MarselScheer/bootGOF/develop.svg)](https://app.codecov.io/github/MarselScheer/bootGOF?branch=develop) [![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) [![Project Status: Active – The project has reached a stable, usable state and is being actively diff --git a/README.md b/README.md index 21f2338..62757e9 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [![R build status](https://github.com/MarselScheer/bootGOF/workflows/R-CMD-check/badge.svg)](https://github.com/MarselScheer/bootGOF/actions) [![Coverage -Status](https://img.shields.io/codecov/c/github/MarselScheer/bootGOF/develop.svg)](https://codecov.io/github/MarselScheer/bootGOF?branch=develop) +Status](https://img.shields.io/codecov/c/github/MarselScheer/bootGOF/develop.svg)](https://app.codecov.io/github/MarselScheer/bootGOF?branch=develop) [![lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) [![Project Status: Active – The project has reached a stable, usable state and is being actively @@ -89,33 +89,35 @@ package in your environment by calling: # sessionInfo sessionInfo() - #> R version 4.1.0 (2021-05-18) - #> Platform: x86_64-pc-linux-gnu (64-bit) - #> Running under: Ubuntu 20.04.2 LTS + #> R Under development (unstable) (2025-08-19 r88650) + #> Platform: x86_64-pc-linux-gnu + #> Running under: Ubuntu 24.04.2 LTS #> #> Matrix products: default - #> BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so + #> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 + #> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0 #> #> locale: #> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C #> [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 - #> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=C + #> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 #> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C #> [9] LC_ADDRESS=C LC_TELEPHONE=C #> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C #> + #> time zone: Etc/UTC + #> tzcode source: system (glibc) + #> #> attached base packages: #> [1] stats graphics grDevices datasets utils methods base #> #> other attached packages: - #> [1] bootGOF_0.1.0.9000 + #> [1] bootGOF_0.1.1 #> #> loaded via a namespace (and not attached): - #> [1] knitr_1.29 magrittr_1.5 pkgload_1.1.0 R6_2.4.1 - #> [5] rlang_0.4.10 fansi_0.4.1 stringr_1.4.0 tools_4.1.0 - #> [9] pkgbuild_1.0.8 checkmate_2.0.0 xfun_0.15 cli_2.0.2 - #> [13] withr_2.4.1 htmltools_0.5.0 yaml_2.2.1 assertthat_0.2.1 - #> [17] rprojroot_1.3-2 digest_0.6.25 crayon_1.3.4 processx_3.4.3 - #> [21] callr_3.4.3 ps_1.3.3 testthat_2.3.2 glue_1.4.1 - #> [25] evaluate_0.14 rmarkdown_2.3 stringi_1.4.6 compiler_4.1.0 - #> [29] desc_1.2.0 backports_1.1.8 prettyunits_1.1.1 renv_0.14.0 + #> [1] digest_0.6.37 desc_1.4.3 backports_1.5.0 R6_2.6.1 + #> [5] fastmap_1.2.0 xfun_0.53 knitr_1.50 htmltools_0.5.8.1 + #> [9] rmarkdown_2.29 cli_3.6.5 renv_1.1.5 withr_3.0.2 + #> [13] pkgload_1.4.0 compiler_4.6.0 rprojroot_2.1.0 tools_4.6.0 + #> [17] pkgbuild_1.4.8 checkmate_2.3.3 evaluate_1.0.4 yaml_2.3.10 + #> [21] rlang_1.1.6

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    Developed by Marsel Scheer, Gerhard Dikta.

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