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). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.

Version: 1.7.3
Depends: R (≥ 3.5.0), broom
Imports: car, MASS, graphics, grDevices, stats, magrittr, purrr, rgl, tibble
Suggests: candisc, carData, effects, reshape, gplots, nlme, lattice, reshape2, corrgram, animation, mvinfluence, knitr, rmarkdown, markdown, dplyr, tidyr, ggplot2, bookdown, patchwork, tinytable, glue, here, Sleuth2, rrcov, archdata, qqtest, vcdExtra, R.rsp
Published: 2024-12-22
DOI: 10.32614/CRAN.package.heplots
Author: Michael Friendly ORCID iD [aut, cre], John Fox ORCID iD [aut], Georges Monette ORCID iD [aut], Phil Chalmers ORCID iD [ctb], Duncan Murdoch [ctb]
Maintainer: Michael Friendly <friendly at yorku.ca>
BugReports: https://github.com/friendly/heplots/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://friendly.github.io/heplots/, http://friendly.github.io/heplots/
NeedsCompilation: no
Language: en-US
Citation: heplots citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: heplots results

Documentation:

Reference manual: heplots.pdf
Vignettes: HE plot MANOVA Examples (source, R code)
HE plot MMRA Examples (source, R code)
Data sets in the heplots package (source, R code)
HE Plots for Repeated Measures Designs (source)

Downloads:

Package source: heplots_1.7.3.tar.gz
Windows binaries: r-devel: heplots_1.7.3.zip, r-release: heplots_1.7.3.zip, r-oldrel: heplots_1.7.3.zip
macOS binaries: r-release (arm64): heplots_1.7.3.tgz, r-oldrel (arm64): heplots_1.7.3.tgz, r-release (x86_64): heplots_1.7.3.tgz, r-oldrel (x86_64): heplots_1.7.3.tgz
Old sources: heplots archive

Reverse dependencies:

Reverse depends: candisc, mvinfluence
Reverse imports: ICSClust, MorphoTools2
Reverse suggests: effects, Guerry, HistData, latentnet, ordr

Linking:

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