ICtest: Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction (original) (raw)
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 |
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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: | |
CRAN checks: | ICtest results |
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