Package: ridge 3.3

ridge: Ridge Regression with Automatic Selection of the Penalty Parameter

Linear and logistic ridge regression functions. Additionally includes special functions for genome-wide single-nucleotide polymorphism (SNP) data. More details can be found in <doi:10.1002/gepi.21750> and <doi:10.1186/1471-2105-12-372>.

Authors:Steffen Moritz [aut, cre], Erika Cule [aut], Dan Frankowski [aut]

ridge_3.3.tar.gz
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ridge_3.3.tgz(r-4.6-x86_64)ridge_3.3.tgz(r-4.6-arm64)ridge_3.3.tgz(r-4.5-x86_64)ridge_3.3.tgz(r-4.5-arm64)
ridge_3.3.tar.gz(r-4.7-arm64)ridge_3.3.tar.gz(r-4.7-x86_64)ridge_3.3.tar.gz(r-4.6-arm64)ridge_3.3.tar.gz(r-4.6-x86_64)
ridge_3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ridge/json (API)
NEWS

# Install 'ridge' in R:
install.packages('ridge', repos = c('https://steffenmoritz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/steffenmoritz/ridge/issues

Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • GenBin - Simulated genetic data with a binary phenotypes
  • GenCont - Simulated genetic data with continuous outcomes
  • Gorman - The Ten-Factor data first described by Gorman and Toman (1966).
  • Hald - Hald data

On CRAN:

Conda:

regressionridge-regressiongsl

7.00 score 19 stars 1 packages 135 scripts 1.3k downloads 19 mentions 6 exports 0 dependencies

Last updated from:95f1b6d46a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK114
linux-devel-x86_64OK129
source / vignettesOK158
linux-release-arm64OK108
linux-release-x86_64OK127
macos-release-arm64OK172
macos-release-x86_64OK227
macos-oldrel-arm64OK163
macos-oldrel-x86_64OK548
windows-develOK100
windows-releaseOK83
windows-oldrelOK102
wasm-releaseOK96

Exports:linearRidgelinearRidgeGenotypeslinearRidgeGenotypesPredictlogisticRidgelogisticRidgeGenotypespvals

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
ridge-package descriptionridge-package
Simulated genetic data with a binary phenotypesGenBin GenBin_genotypes GenBin_phenotypes
Simulated genetic data with continuous outcomesGenCont GenCont_genotypes GenCont_phenotypes
The Ten-Factor data first described by Gorman and Toman (1966).Gorman
Hald dataHald
Linear ridge regression.coef.ridgeLinear linearRidge nobs.ridgeLinear plot.ridgeLinear predict.ridgeLinear print.ridgeLinear print.summary.ridgeLinear summary.ridgeLinear
Fits linear ridge regression models for genome-wide SNP data.linearRidgeGenotypes
Predict phenotypes from genome-wide SNP data based on a file of coefficientslinearRidgeGenotypesPredict
Logistic ridge regression.coef.ridgeLogistic logisticRidge plot.ridgeLogistic predict.ridgeLogistic print.ridgeLogistic print.summary.ridgeLogistic summary.ridgeLogistic
Fits logistic ridge regression models for genomoe-wide SNP data.logisticRidgeGenotypes
Predict fitted probabilities from genome-wide SNP data based on a file of coefficientslogisticRidgeGenotypesPredict
Compute p-values for ridgeLinear and ridgeLogistic modelsplot.pvalsRidgeLinear plot.pvalsRidgeLogistic print.pvalsRidgeLinear print.pvalsRidgeLogistic pvals pvals.ridgeLinear pvals.ridgeLogistic
ridge: Linear and logistic ridge regression functions.ridge