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candisc: Visualizing Generalized Canonical Discriminant and Canonical
Correlation Analysis
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 
[aut, cre],
John Fox [aut] |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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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