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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: 0.9.0
Depends: car, heplots
Suggests: knitr, rmarkdown, ggplot2, tibble, patchwork, rgl, dplyr
Published: 2022-09-20
DOI: 10.32614/CRAN.package.mvinfluence
Author: Michael Friendly ORCID iD [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
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: mvinfluence results

Documentation:

Reference manual: mvinfluence.pdf
Vignettes: Univariate versus Multivariate Influence

Downloads:

Package source: mvinfluence_0.9.0.tar.gz
Windows binaries: r-devel: mvinfluence_0.9.0.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_0.9.0.tgz, r-oldrel (x86_64): mvinfluence_0.9.0.tgz
Old sources: mvinfluence archive

Reverse dependencies:

Reverse suggests: heplots

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mvinfluence to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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