Package: genridge 0.7.0

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
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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

Datasets:

On CRAN:

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

7 exports 2 stars 0.94 score 82 dependencies 67 scripts 349 downloads

Last updated 7 months agofrom:8768cb15df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:contourfpcaplot3dprecisionridgetraceplottrans.colors

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrglrlangrmarkdownsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml