CCA: Canonical correlation analysis
Version 1.2

The package provide a set of functions that extend the cancor function with new numerical and graphical outputs. It also include a regularized extension of the cannonical correlation analysis to deal with datasets with more variables than observations.

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AuthorIgnacio Gonzlez, Sbastien Djean
Date of publication2012-10-29 13:13:37
MaintainerSbastien Djean <sebastien.dejean@math.univ-toulouse.fr>
LicenseGPL (>= 2)
Version1.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("CCA")

Man pages

cc: Canonical Correlation Analysis
CCA-package: Canonical correlation analysis
comput: Additional computations for CCA
estim.regul: Estimate the parameters of regularization
img.estim.regul: Plot the cross-validation criterion
img.matcor: Image of correlation matrices
loo: Leave-one-out criterion
matcor: Correlations matrices
nutrimouse: Nutrimouse dataset
plt.cc: Graphical outputs for canonical correlation analysis
plt.indiv: Individuals representation for CCA
plt.var: Variables representation for CCA
rcc: Regularized Canonical Correlation Analysis

Functions

CCA Man page
CCA-package Man page
cc Man page
comput Man page
estim.regul Man page
img.estim.regul Man page
img.matcor Man page
loo Man page
matcor Man page
nutrimouse Man page
plt.cc Man page
plt.indiv Man page
plt.var Man page
rcc Man page

Files

data
data/nutrimouse.rda
NAMESPACE
man
man/estim.regul.Rd
man/cc.Rd
man/CCA-package.Rd
man/img.matcor.Rd
man/comput.Rd
man/plt.var.Rd
man/plt.cc.Rd
man/img.estim.regul.Rd
man/rcc.Rd
man/loo.Rd
man/plt.indiv.Rd
man/matcor.Rd
man/nutrimouse.Rd
DESCRIPTION
MD5
R
R/rcc.R
R/img.estim.regul.R
R/comput.R
R/cc.R
R/estim.regul.R
R/plt.var.R
R/matcor.R
R/plt.indiv.R
R/plt.cc.R
R/img.matcor.R
R/loo.R
CCA documentation built on May 20, 2017, 3:31 a.m.