Package: ridge 3.3
Steffen Moritz
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:
ridge_3.3.tar.gz
ridge_3.3.tar.gz(r-4.5-noble)ridge_3.3.tar.gz(r-4.4-noble)
ridge_3.3.tgz(r-4.4-emscripten)ridge_3.3.tgz(r-4.3-emscripten)
ridge.pdf |ridge.html✨
ridge/json (API)
NEWS
| # Install 'ridge' in R: |
| install.packages('ridge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/steffenmoritz/ridge/issues
Datasets:
Last updated 3 years agofrom:f38ece9d9f. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 20 2024 |
| R-4.5-linux-x86_64 | OK | Sep 20 2024 |
Exports:linearRidgelinearRidgeGenotypeslinearRidgeGenotypesPredictlogisticRidgelogisticRidgeGenotypespvals
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ridge-package description | ridge-package |
| Simulated genetic data with a binary phenotypes | GenBin GenBin_genotypes GenBin_phenotypes |
| Simulated genetic data with continuous outcomes | GenCont GenCont_genotypes GenCont_phenotypes |
| The Ten-Factor data first described by Gorman and Toman (1966). | Gorman |
| Hald data | Hald |
| 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 coefficients | linearRidgeGenotypesPredict |
| 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 coefficients | logisticRidgeGenotypesPredict |
| Compute p-values for ridgeLinear and ridgeLogistic models | plot.pvalsRidgeLinear plot.pvalsRidgeLogistic print.pvalsRidgeLinear print.pvalsRidgeLogistic pvals pvals.ridgeLinear pvals.ridgeLogistic |
| ridge: Linear and logistic ridge regression functions. | ridge |
