ICtest: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction

For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided.

Version:	0.3-5
Depends:	JADE, ICS (≥ 1.3-0), ggplot2
Imports:	stats, graphics, Rcpp (≥ 0.12.3), ICSNP, survey, GGally, png, zoo, xts, RcppRoll, mvtnorm
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, fICA
Published:	2022-05-18
DOI:	10.32614/CRAN.package.ICtest
Author:	Klaus Nordhausen [aut, cre], Hannu Oja [aut], David E. Tyler [aut], Joni Virta [aut]
Maintainer:	Klaus Nordhausen <klaus.k.nordhausen at jyu.fi>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	ChangeLog
CRAN checks:	ICtest results

Documentation:

Reference manual:	ICtest.pdf
Vignettes:	ICA (source, R code) PCA (source, R code) SIR (source, R code)

Downloads:

Package source:	ICtest_0.3-5.tar.gz
Windows binaries:	r-devel: ICtest_0.3-5.zip, r-release: ICtest_0.3-5.zip, r-oldrel: ICtest_0.3-5.zip
macOS binaries:	r-release (arm64): ICtest_0.3-5.tgz, r-oldrel (arm64): ICtest_0.3-5.tgz, r-release (x86_64): ICtest_0.3-5.tgz, r-oldrel (x86_64): ICtest_0.3-5.tgz
Old sources:	ICtest archive

Reverse dependencies:

Reverse depends:	ssaBSS, tsBSS
Reverse imports:	singR, tensorBSS

Linking:

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