Learn R Programming

mvinfluence (version 0.9.2)

Influence Measures and Diagnostic Plots for Multivariate Linear Models

Description

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.

Copy Link

Version

Install

install.packages('mvinfluence')

Monthly Downloads

806

Version

0.9.2

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Michael Friendly

Last Published

July 23rd, 2025

Functions in mvinfluence (0.9.2)

influence.mlm

Regression Deletion Diagnostics for Multivariate Linear Models
influencePlot.mlm

Influence Plots for Multivariate Linear Models
hatvalues.mlm

Hatvalues for a MLM
as.data.frame.inflmlm

Convert an inflmlm object to a data frame
lrPlot

Regression LR Influence Plot
mpower

General Matrix Power
print.inflmlm

Print an inflmlm object
Jfuns

General Classes of Influence Measures
cooks.distance.mlm

Cook's distance for a MLM
tr

Matrix trace
infIndexPlot.mlm

Influence Index Plots for Multivariate Linear Models
mlm.influence

Calculate Regression Deletion Diagnostics for Multivariate Linear Models
mvinfluence-package

Influence Measures and Diagnostic Plots for Multivariate Linear Models
Fertilizer

Fertilizer Data