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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NEWS

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

Peer review:

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

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

Datasets:

On CRAN:

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

4.84 score 4 stars 69 scripts 674 downloads 7 exports 83 dependencies

Last updated 2 months agofrom:71fbe2ee8d. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 01 2025
R-4.5-winOKJan 01 2025
R-4.5-linuxOKJan 01 2025
R-4.4-winOKJan 01 2025
R-4.4-macOKJan 01 2025
R-4.3-winOKJan 01 2025
R-4.3-macOKJan 01 2025

Exports:contourfpcaplot3dprecisionridgetraceplottrans.colors

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrglrlangrmarkdownsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml