Releases: stscl/sdsfun
sdsfun 0.8.1
sdsfun 0.8.0
sdsfun 0.7.0
- Handling NA Values Specifically for
rm_lineartrend()(#29).
sdsfun 0.6.0
sdsfun 0.5.0
-
Add
hclustgeo_discfor hierarchical clustering with spatial soft constraints (#13). -
Add
spade_psdfor the fast estimation of the SPADE model psd-value. -
Add
sf_gk_proj_cgcs2000()function.
sdsfun 0.4.3
- Add
geodetector_qfor the fast estimation of the geodetector q-value.
sdsfun 0.4.2
- Add
check_tbl_naandtbl_all2intfunctions to better support thegdverseandsesppackages.
sdsfun 0.4.1
-
When the input
xis afactoror acharacter,discretize_vectorcauses R to crash (#12). -
Implement the
formula_varnamefunction to return the corresponding variable names from bothformulaanddata.
sdsfun 0.4.0
-
Improve the handling of
n-level categorical variables by generatingn-1dummy variables (#2). -
Add the
spdep_lmtestfunction for spatial linear model selection (#3). -
Migrate the
moran_testfunction from thegeocomplexitypackage tosdsfun(#4). -
Implement the geographical detector's factor detector in
ssh_testusingRcppto enhance performance (#5). -
Introduce the
discretize_vectorfunction to support variable discretization (#6). -
Apply the
loess_optnumfunction to select the optimal number of discretization intervals (#10). -
Implement spatial variance calculation in the
spvarfunction, with support for bothRandC++implementations (#11). -
Rename
dummy_vectortodummy_vecfor consistency in naming conventions. -
Add the
sf_coordinatesfunction to extract coordinates fromsfobjects.
sdsfun 0.3.0
-
Begin to use
Rcppto complete some tasks with high computational complexity. -
Add
dummy_vectoranddummy_tblfunctions for dummy variables generation. -
Add
spdep_nbfunction for neighbours list generation. -
Add
spdep_skaterfunction for spatial constrained clustering. -
Add
fuzzyoverlayfunction for spatial fuzzy overlay. -
Update package extdata; now
sdsfunhas two extdata:gzma.gpkgandpts.gpkg.