heplots: Visualizing Hypothesis Tests in Multivariate Linear Models

Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models such as robust methods and homogeneity of variance covariance matrices. The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.

Package details

AuthorMichael Friendly [aut, cre] (<https://orcid.org/0000-0002-3237-0941>), John Fox [aut] (<https://orcid.org/0000-0002-1196-8012>), Georges Monette [aut] (<https://orcid.org/0000-0003-0076-5532>), Phil Chalmers [ctb] (<https://orcid.org/0000-0001-5332-2810>), Duncan Murdoch [ctb]
MaintainerMichael Friendly <friendly@yorku.ca>
LicenseGPL (>= 2)
Version1.7.4
URL http://friendly.github.io/heplots/ https://github.com/friendly/heplots
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("heplots")

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heplots documentation built on April 17, 2025, 1:08 a.m.