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Functions for computing and visualizing generalized canonical discriminant analyses and canonical correlation analysis for a multivariate linear model. Traditional canonical discriminant analysis is restricted to a one-way 'MANOVA' design and is equivalent to canonical correlation analysis between a set of quantitative response variables and a set of dummy variables coded from the factor variable. The 'candisc' package generalizes this to higher-way 'MANOVA' designs for all factors in a multivariate linear model, computing canonical scores and vectors for each term. The graphic functions provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided for canonical correlation analysis when all predictors are quantitative.
Version: | 0.9.0 |
Depends: | R (≥ 3.5.0), heplots (≥ 0.8-6) |
Imports: | car, graphics, stats |
Suggests: | rgl, carData, corrplot, knitr, rmarkdown, MASS, rpart, rpart.plot |
Published: | 2024-05-06 |
DOI: | 10.32614/CRAN.package.candisc |
Author: | Michael Friendly |
Maintainer: | Michael Friendly <friendly at yorku.ca> |
BugReports: | https://github.com/friendly/candisc/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/friendly/candisc/, https://friendly.github.io/candisc/ |
NeedsCompilation: | no |
Language: | en-US |
Citation: | candisc citation info |
Materials: | NEWS |
In views: | Psychometrics |
CRAN checks: | candisc results |
Reference manual: | candisc.pdf |
Vignettes: |
Diabetes data: heplots and candisc examples |
Package source: | candisc_0.9.0.tar.gz |
Windows binaries: | r-devel: candisc_0.9.0.zip, r-release: candisc_0.9.0.zip, r-oldrel: candisc_0.9.0.zip |
macOS binaries: | r-release (arm64): candisc_0.9.0.tgz, r-oldrel (arm64): candisc_0.9.0.tgz, r-release (x86_64): candisc_0.9.0.tgz, r-oldrel (x86_64): candisc_0.9.0.tgz |
Old sources: | candisc archive |
Reverse imports: | MorphoTools2, MultivariateAnalysis, smacof, SurveyCC |
Reverse suggests: | Guerry, heplots, KnowBR |
Please use the canonical form https://CRAN.R-project.org/package=candisc 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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