ccaPP-package {ccaPP}

(Robust) Canonical Correlation Analysis via Projection Pursuit

Description

Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.

Details

The DESCRIPTION file:

Package:	ccaPP
Type:	Package
Title:	(Robust) Canonical Correlation Analysis via Projection Pursuit
Version:	0.3.3
Date:	2019-12-09
Depends:	R (>= 3.2.0), parallel, pcaPP (>= 1.8-1), robustbase
Imports:	Rcpp (>= 0.11.0)
LinkingTo:	Rcpp (>= 0.11.0), RcppArmadillo (>= 0.4.100.0)
Suggests:	knitr, mvtnorm
VignetteBuilder:	knitr
Description:	Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.
License:	GPL (>= 2)
LazyLoad:	yes
Authors@R:	c(person("Andreas", "Alfons", email = "[e-mail]", role = c("aut", "cre")), person("David", "Simcha", role = "ctb"))
Author:	Andreas Alfons [aut, cre], David Simcha [ctb]
Maintainer:	Andreas Alfons <[e-mail]>
Encoding:	UTF-8
RoxygenNote:	6.1.1

Index of help topics:

ccaGrid                 (Robust) CCA via alternating series of grid
                        searches
ccaPP-package           (Robust) Canonical Correlation Analysis via
                        Projection Pursuit
ccaProj                 (Robust) CCA via projections through the data
                        points
corFunctions            Fast implementations of (robust) correlation
                        estimators
diabetes                Diabetes data
fastMAD                 Fast implementation of the median absolute
                        deviation
fastMedian              Fast implementation of the median
maxCorGrid              (Robust) maximum correlation via alternating
                        series of grid searches
maxCorProj              (Robust) maximum correlation via projections
                        through the data points
permTest                (Robust) permutation test for no association

Author(s)

Andreas Alfons [aut, cre], David Simcha [ctb]

Maintainer: Andreas Alfons <[e-mail]>

References

A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association between data sets: The R Package ccaPP. Austrian Journal of Statistics, 45(1), 71–79.

A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association estimators. Journal of the American Statistical Association. DOI 10.1080/01621459.2016.1148609. In press.