DESCRIPTION

Package: candisc
Type: Package
Title: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis
Version: 0.9.0
Date: 2024-05-05
Depends: R (>= 3.5.0), heplots (>= 0.8-6)
Imports: car, graphics, stats
Suggests: 
    rgl,
    carData,
    corrplot,
    knitr,
    rmarkdown,
    MASS, 
    rpart, 
    rpart.plot
LazyLoad: yes
LazyData: yes
Authors@R: c(
            person(given = "Michael", 
                   family = "Friendly", 
                   role=c("aut", "cre"), 
                   email="friendly@yorku.ca",
                   comment = c(ORCID = "0000-0002-3237-0941")),
            person(given = "John", 
                   family = "Fox", role="aut",
                   comment = c(ORCID = "0000-0002-1196-8012"))
            )
Maintainer: Michael Friendly <friendly@yorku.ca>
Language: en-US
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/friendly/candisc/, https://friendly.github.io/candisc/
BugReports: https://github.com/friendly/candisc/issues
RoxygenNote: 7.3.1