Package: mvinfluence 0.9.1

mvinfluence: Influence Measures and Diagnostic Plots for Multivariate Linear Models

Computes regression deletion diagnostics for multivariate linear models and provides some associated diagnostic plots. The diagnostic measures include hat-values (leverages), generalized Cook's distance, and generalized squared 'studentized' residuals. Several types of plots to detect influential observations are provided.

Authors:Michael Friendly [aut, cre]

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

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

Peer review:

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

Datasets:

On CRAN:

multivariate-analysismultivariate-linear-regressionstatisticsvisualization

4.41 score 2 stars 26 scripts 955 downloads 5 exports 84 dependencies

Last updated 2 years agofrom:2a22da8399. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winWARNINGNov 10 2024
R-4.5-linuxWARNINGNov 10 2024
R-4.4-winWARNINGNov 10 2024
R-4.4-macWARNINGNov 10 2024
R-4.3-winWARNINGNov 10 2024
R-4.3-macWARNINGNov 10 2024

Exports:%^%lrPlotmlm.influencempowertr

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegtableheplotshighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrglrlangrmarkdownsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Univariate versus Multivariate Influence

Rendered fromuni-vs-multi.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2022-09-21
Started: 2022-09-16