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: 1.3-3
Depends: R (≥ 2.10), car
Imports: MASS, graphics, grDevices, stats, utils
Suggests: rgl, candisc, effects, reshape, gplots, nlme, lattice, reshape2, corrgram, FRB, animation, mvinfluence
Published: 2016-10-21
Author: John Fox [aut], Michael Friendly [aut, cre], Georges Monette [ctb]
Maintainer: Michael Friendly <friendly at yorku.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://datavis.ca/R/index.php#heplots
NeedsCompilation: no
Citation: heplots citation info
Materials: NEWS
CRAN checks: heplots results


Reference manual: heplots.pdf
Vignettes: HE plot examples
HE Plots for Repeated Measures Designs
Package source: heplots_1.3-3.tar.gz
Windows binaries: r-devel: heplots_1.3-3.zip, r-release: heplots_1.3-3.zip, r-oldrel: heplots_1.3-3.zip
OS X Mavericks binaries: r-release: heplots_1.3-3.tgz, r-oldrel: heplots_1.3-3.tgz
Old sources: heplots archive

Reverse dependencies:

Reverse depends: candisc, mvinfluence
Reverse suggests: effects, HistData, latentnet


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