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]

genridge_0.8.0.tar.gz
genridge_0.8.0.zip(r-4.7)genridge_0.8.0.zip(r-4.6)genridge_0.8.0.zip(r-4.5)
genridge_0.8.0.tgz(r-4.6-any)genridge_0.8.0.tgz(r-4.5-any)
genridge_0.8.0.tar.gz(r-4.7-any)genridge_0.8.0.tar.gz(r-4.6-any)
genridge_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
genridge/json (API)

# 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/docs site:https://friendly.github.io

Datasets:

On CRAN:

Conda:

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

4.29 score 4 stars 97 scripts 375 downloads 7 exports 92 dependencies

Last updated from:336fe1e583. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK185
source / vignettesOK252
linux-release-x86_64OK166
macos-release-arm64OK117
macos-oldrel-arm64OK103
windows-develOK97
windows-releaseOK116
windows-oldrelOK90
wasm-releaseOK171

Exports:contourfpcaplot3dprecisionridgetraceplottrans.colors

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrglrlangrmarkdownS7sassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo