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mvinfluence (version 0.9.0)

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.

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Install

install.packages('mvinfluence')

Monthly Downloads

801

Version

0.9.0

License

GPL-2

Issues

0

Pull Requests

0

Stars

2

Forks

1

Maintainer

Michael Friendly

Last Published

September 20th, 2022

Functions in mvinfluence (0.9.0)

Fertilizer

Fertilizer Data
Jtr

General Classes of Influence Measures
influence.mlm

Regression Deletion Diagnostics for Multivariate Linear Models
influencePlot.mlm

Influence Plots for Multivariate Linear Models
print.inflmlm

Print an inflmlm object
hatvalues.mlm

Hatvalues for a MLM
lrPlot

Regression LR Influence Plot
mlm.influence

Calculate Regression Deletion Diagnostics for Multivariate Linear Models
as.data.frame.inflmlm

Convert an inflmlm object to a data frame
tr

Matrix trace
infIndexPlot.mlm

Influence Index Plots for Multivariate Linear Models
mpower

General Matrix Power
cooks.distance.mlm

Cook's distance for a MLM
mvinfluence

Influence Measures and Diagnostic Plots for Multivariate Linear Models