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.

Version:	0.9.2
Depends:	car, heplots, R (≥ 4.1.0)
Suggests:	knitr, rmarkdown, ggplot2, tibble, patchwork, rgl, dplyr
Published:	2025-07-23
DOI:	10.32614/CRAN.package.mvinfluence
Author:	Michael Friendly [aut, cre]
Maintainer:	Michael Friendly <friendly at yorku.ca>
BugReports:	https://github.com/friendly/mvinfluence/issues
License:	GPL-2
URL:	https://github.com/friendly/mvinfluence, https://friendly.github.io/mvinfluence/
NeedsCompilation:	no
Language:	en-US
Materials:	NEWS
CRAN checks:	mvinfluence results

Documentation:

Reference manual:	mvinfluence.html , mvinfluence.pdf
Vignettes:	Univariate versus Multivariate Influence (source, R code)

Downloads:

Package source:	mvinfluence_0.9.2.tar.gz
Windows binaries:	r-devel: mvinfluence_0.9.2.zip, r-release: mvinfluence_0.9.0.zip, r-oldrel: mvinfluence_0.9.0.zip
macOS binaries:	r-release (arm64): mvinfluence_0.9.0.tgz, r-oldrel (arm64): mvinfluence_0.9.0.tgz, r-release (x86_64): mvinfluence_0.9.2.tgz, r-oldrel (x86_64): mvinfluence_0.9.2.tgz
Old sources:	mvinfluence archive

Reverse dependencies:

Reverse suggests:

heplots

Linking:

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