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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: 1.6.2
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, dplyr, tidyr, ggplot2, bookdown
Published: 2024-02-15
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/
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
HE plot MMRA Examples

Downloads:

Package source: heplots_1.6.2.tar.gz
Windows binaries: r-devel: heplots_1.6.2.zip, r-release: heplots_1.6.2.zip, r-oldrel: heplots_1.6.2.zip
macOS binaries: r-release (arm64): heplots_1.6.2.tgz, r-oldrel (arm64): heplots_1.6.2.tgz, r-release (x86_64): heplots_1.6.2.tgz, r-oldrel (x86_64): heplots_1.6.2.tgz
Old sources: heplots archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=heplots to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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