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: 0.2
Depends: JADE, ICS (≥ 1.3-0), ggplot2
Imports: stats, graphics, Rcpp (≥ 0.12.3), ICSNP, survey, GGally, png
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2016-12-19
Author: Klaus Nordhausen, Hannu Oja, David E. Tyler, Joni Virta
Maintainer: Klaus Nordhausen <klaus.nordhausen at utu.fi>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: ICtest results

Downloads:

Reference manual: ICtest.pdf
Vignettes: ICA
PCA
SIR
Package source: ICtest_0.2.tar.gz
Windows binaries: r-devel: ICtest_0.2.zip, r-release: ICtest_0.2.zip, r-oldrel: ICtest_0.2.zip
OS X Mavericks binaries: r-release: ICtest_0.2.tgz, r-oldrel: ICtest_0.2.tgz

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