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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 |
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 |
Reference manual: | mvinfluence.pdf |
Vignettes: |
Univariate versus Multivariate Influence |
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 suggests: | heplots |
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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.