Package: ridgregextra 0.1.1

Olgun Aydin

ridgregextra: Ridge Regression Parameter Estimation

It is a package that provides alternative approach for finding optimum parameters of ridge regression. This package focuses on finding the ridge parameter value k which makes the variance inflation factors closest to 1, while keeping them above 1 as addressed by Michael Kutner, Christopher Nachtsheim, John Neter, William Li (2004, ISBN:978-0073108742). Moreover, the package offers end-to-end functionality to find optimum k value and presents the detailed ridge regression results. Finally it shows three sets of graphs consisting k versus variance inflation factors, regression coefficients and standard errors of them.

Authors:Filiz Karadag [aut], Hakan Savas Sazak [aut], Olgun Aydin [cre]

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ridgregextra.pdf |ridgregextra.html✨
ridgregextra/json (API)

Peer review:

Bug tracker:https://github.com/filizkrdg/ridgregextra/issues

On CRAN:

3 exports 1.02 score 72 dependencies 250 downloads

Last updated 10 months agofrom:b57931ce0e. Checks:OK: 7. Indexed: yes.

Exports:ridge_regridgereg_kvif_k

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisdalsisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmctestmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml