Package index • mvinfluence

Package overview

mvinfluence-package mvinfluence: Influence Measures and Diagnostic Plots for Multivariate Linear Models

mvinfluence mvinfluence-package: Influence Measures and Diagnostic Plots for Multivariate Linear Models

inflmlm

Influence measures for mlms

mlm.influence(): Calculate Regression Deletion Diagnostics for Multivariate Linear Models

cooks.distance(<mlm>) hatvalues(<mlm>): Regression Deletion Diagnostics for Multivariate Linear Models

influence(<mlm>): Regression Deletion Diagnostics for Multivariate Linear Models

cooks.distance(<mlm>): Cook's distance for a MLM

hatvalues(<mlm>): Hatvalues for a MLM

as.data.frame(<inflmlm>): Convert an inflmlm object to a data frame

print(<inflmlm>): Print an inflmlm object

Influence plots

Plots of influence diagnostics

influencePlot(<mlm>): Influence Plots for Multivariate Linear Models

infIndexPlot(<mlm>): Influence Index Plots for Multivariate Linear Models

lrPlot(): Regression LR Influence Plot

Influence components

Jtr() Jdet() COOKD() DFFITS() COVRATIO(): General Classes of Influence Measures

Jdet() Jtr() COOKD() COVRATIO() DFFITS(): General Classes of Influence Measures

Matrix calculations

mpower() `%^%`: General Matrix Power

tr(): Matrix trace

Data

Fertilizer: Fertilizer Data