v1.6.0 (2020-06-03)

• Refactored EWAS code with more careful handling of NA values when using survey information
• Improved documentation

v1.5.0 (2019-10-31)

• Resolve some errors in edge cases, such as specifying no covariates
• Add support for passing in additional survey parameters, such as fpc

v1.4.1 (2019-10-08)

Improved functionality and documentation for record_key and recode_missing

v1.4.0 (2019-09-25)

• Documentation Update
• Remove the beta GUI since a GUI based on the python version is almost ready

V1.3.0 (2019-06-28)

• Added a 'min_n' filter to the ewas function that requires a minimum number of complete-case observations (including phenotype, covariates, and optional survey design variables)
• Improved manhattan plots
  • Padding between categories
  • Align the same variable in different datasets at the same position on the x-axis
  • Better x-axis label placement
• Minor bugfixes

V1.2.0 (05-31-2019)

Rewrote much of the EWAS function in order to automatically create SurveyDesign objects instead of requiring the user to make them manually and pass them into EWAS.

V1.1.0 (2019-04-30)

Significant rewrites to the EWAS function. It is now possible to pass an svydesign object from the survey library into the ewas function. It is also possible to specify covariates that are allowed to be non-varying: when this occurs a warning is printed and the covariate is not used.

1.0

ewas

• Check to see if covariates or the phenotype were dropped before running
• Correct the null check for categorical and continuous variable dataframes
• Correct the use of do.call

Pre-1.0

Initial Release