Package: genridge 0.8.0

genridge: Generalized Ridge Trace Plots for Ridge Regression

The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias (actually, shrinkage) and precision, by plotting the covariance ellipsoids of the estimated coefficients, rather than just the estimates themselves. 2D and 3D plotting methods are provided, both in the space of the predictor variables and in the transformed space of the PCA/SVD of the predictors.

Authors:Michael Friendly [aut, cre]

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genridge.pdf |genridge.html
genridge/json (API)
NEWS

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

Bug tracker:https://github.com/friendly/genridge/issues

Pkgdown site:https://friendly.github.io

Datasets:

On CRAN:

Conda:

bias-variancegraphicsprincipal-component-analysisregression-modelsridge-regressionsingular-value-decomposition

4.84 score 4 stars 69 scripts 596 downloads 7 exports 86 dependencies

Last updated 4 months agofrom:71fbe2ee8d. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-winNOTEMar 02 2025
R-4.5-macNOTEMar 02 2025
R-4.5-linuxNOTEMar 02 2025
R-4.4-winOKMar 02 2025
R-4.4-macOKMar 02 2025
R-4.3-winOKMar 02 2025
R-4.3-macOKMar 02 2025

Exports:contourfpcaplot3dprecisionridgetraceplottrans.colors

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrglrlangrmarkdownsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml