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Package: candisc
Type: Package
Title: Visualizing Generalized Canonical Discriminant and Canonical
Correlation Analysis
Version: 0.7-0
Date: 2016-04-25
Depends: R (>= 2.10), car, heplots (>= 0.8.6), graphics, stats
Suggests: rgl, corrplot
LazyLoad: yes
LazyData: yes
Authors@R: c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
person(given = "John", family = "Fox", role="aut"))
Author: Michael Friendly [aut, cre], John Fox [aut]
Maintainer: Michael Friendly <friendly@yorku.ca>
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)
Packaged: 2016-04-26 13:45:20 UTC; rforge
Repository: CRAN
Repository/R-Forge/Project: candisc
Repository/R-Forge/Revision: 105
Repository/R-Forge/DateTimeStamp: 2016-04-26 13:34:51
Date/Publication: 2016-04-27 13:30:55
NeedsCompilation: no
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providing 
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