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.


Reference manual

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install.packages("heplots")

1.8.6 by Michael Friendly, 14 days ago


https://friendly.github.io/heplots/, https://github.com/friendly/heplots


Report a bug at https://github.com/friendly/heplots/issues


Browse source code at https://github.com/cran/heplots


Authors: Michael Friendly [aut, cre] (ORCID: , John Fox [aut] , Georges Monette [aut] , Phil Chalmers [ctb] , Duncan Murdoch [ctb] , Gavin Klorfine [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports car, generics, MASS, graphics, grDevices, stats, magrittr, purrr, rgl, tibble, boot, glue

Suggests broom, candisc, carData, lmtest, effects, reshape, gplots, nlme, lattice, reshape2, corrgram, animation, mvinfluence, knitr, litedown, rmarkdown, markdown, dplyr, tidyr, ggplot2, bookdown, patchwork, tinytable, here, htmltools, Sleuth2, rrcov, archdata, qqtest, ggbiplot, vcdExtra, KernSmooth, aplpack, foreign, robustbase, effectsize, parameters


Imported by ICSClust, MorphoTools2, volker.

Depended on by candisc, mvinfluence.

Suggested by Guerry, HistData, effects, latentnet.


See at CRAN