Package: mvinfluence 0.9.4

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]

mvinfluence_0.9.4.tar.gz
mvinfluence_0.9.4.zip(r-4.7-any)mvinfluence_0.9.4.zip(r-4.6-any)mvinfluence_0.9.4.zip(r-4.5-any)
mvinfluence_0.9.4.tgz(r-4.6-any)mvinfluence_0.9.4.tgz(r-4.5-any)
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mvinfluence_0.9.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mvinfluence/json (API)

# Install 'mvinfluence' in R:

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

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

Pkgdown/docs site:https://friendly.github.io

Datasets:

Fertilizer - Fertilizer Data

On CRAN:

multivariate-analysis multivariate-linear-regression statistics visualization

5.43 score 2 stars 43 scripts 2.1k downloads 5 exports 92 dependencies

Last updated from:b08d6b75d2. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	204
source / vignettes	OK	497
linux-release	OK	185
macos-release	OK	112
macos-oldrel	OK	102
windows-devel	OK	89
windows-release	OK	90
windows-oldrel	OK	84
wasm-release	OK	151

Exports:%^%lrPlot mlm.influence mpower tr

Dependencies:abind backports base64enc boot broom bslib cachem car carData cli colorspace cowplot cpp11 Deriv digest doBy dplyr evaluate farver fastmap fontawesome forecast Formula fracdiff fs generics ggplot2 glue gtable heplots highr htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv mime minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rgl rlang rmarkdown S7 sass scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Univariate versus Multivariate Influence

Rendered fromuni-vs-multi.Rmdusingknitr::rmarkdown

Last update: 2026-09-11
Started: 2022-09-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Influence Measures and Diagnostic Plots for Multivariate Linear Models	mvinfluence-package mvinfluence
Convert an inflmlm object to a data frame	as.data.frame.inflmlm
Cook's distance for a MLM	cooks.distance.mlm
Fertilizer Data	Fertilizer
Hatvalues for a MLM	hatvalues.mlm
Influence Index Plots for Multivariate Linear Models	infIndexPlot.mlm influenceIndexPlot
Regression Deletion Diagnostics for Multivariate Linear Models	influence.mlm
Influence Plots for Multivariate Linear Models	influencePlot.mlm
General Classes of Influence Measures	COOKD COVRATIO DFFITS Jdet Jfuns Jtr
Regression LR Influence Plot	lrPlot lrPlot.lm
Calculate Regression Deletion Diagnostics for Multivariate Linear Models	mlm.influence
General Matrix Power	%^% mpower
Print an inflmlm object	print.inflmlm
Matrix trace	tr