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: 0.3-2
Depends: JADE, ICS (≥ 1.3-0), ggplot2
Imports: stats, graphics, Rcpp (≥ 0.12.3), ICSNP, survey, GGally, png, zoo, xts
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2019-08-23
Author: Klaus Nordhausen, Hannu Oja, David E. Tyler, Joni Virta
Maintainer: Klaus Nordhausen <klaus.nordhausen at tuwien.ac.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: ICtest results


Reference manual: ICtest.pdf
Vignettes: ICA
Package source: ICtest_0.3-2.tar.gz
Windows binaries: r-devel: ICtest_0.3-2.zip, r-release: ICtest_0.3-2.zip, r-oldrel: ICtest_0.3-2.zip
OS X binaries: r-release: ICtest_0.3-2.tgz, r-oldrel: ICtest_0.3-2.tgz
Old sources: ICtest archive

Reverse dependencies:

Reverse depends: tsBSS
Reverse imports: tensorBSS


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