- Fixed small bug with a unwanted print statement in linearRidge
- Fixed issue with predict() function: Wrong results, when predicting the training data without newdata argument. When supplying them via newdata, everything seemed fine. (#16) Thanks to Mekala Sundaram for reporting the issue.
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Fixes to remain on CRAN
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GitHub Actions as CI Tool
- Fixes related to autoconf (needed for passing new CRAN checks)
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Readme update
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Fixes to pass CRAN checks
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Fix predict bug with factor variables
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Add vcov.ridgeLinear
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Add testthat tests
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Changed documentation partially to roxygen2
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bugfix in logisticRidge and linearRidge see: #2
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bugfix to pass cran checks 'warning: missing template: HAVE_GSL_HEADER autoheader'
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Updated Readme
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Some fixed to remain on CRAN and comly with CRAN policy
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Improved Description file
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Changed NEWS file to markup document
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Made package CRAN ready again
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Created github repository for the package
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Fixed warning using Wpendantic gcc
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Adapted the DESCRIPTION file to latest CRAN requirements
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Renamed CHANGELOG to NEWS
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NEWS template update
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Changes to .C Method registration
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NAMESPACE fixes
* Fixed layout of .Rd files
* Added deletion of Makevars to cleanup script
* Flat text (.txt) data files were moved from ridge/data to ridge/inst/extdata
(in the source, which becomes ridge/extdata in the installed package). The .txt files
should be in inst/extdata because they files are used by the package examples
(albeit in not run sections), as described in Writing R Extensions 1.1.5 Data in packages.
* Some users were reporting problems installing the package on some Linux OS. configure
has been modified to fix this
problem.
* Bug fix in src/commonFunctions.c
* Added configure.ac so that package will install if GSL >= 1.14 is not available
(with linearRidgeGenotypes, logisticRidgeGenotypes, linearRidgeGenotypesPredict and
logisticRidgeGenotypesPredict disabled).
* configure.ac detects whether openblas is available and if it is found, links to that.
This speeds up computation. (http://xianyi.github.com/OpenBLAS/)
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fixed a bug in linearRidge when scaling = "none"
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added functions linearRidgeGenotypes and logisticRidgeGenotypes and their predicting counterparts linearRidgeGenotypesPredict and logisticRidgeGenotypespredict. These functions fit linear and logistic ridge regression models for genome-wide SNP data, optionally automatically choosing the ridge parameter
- minor bug fix: "Intercept" now prints as "(Intercept)" (as is the case for lm and glm models)