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: 0.3-6
Depends: JADE, ICS (≥ 1.4-0), ggplot2
Imports: stats, graphics, Rcpp (≥ 0.12.3), ICSNP, survey, GGally, png, zoo, xts, RcppRoll, mvtnorm, progress, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, fICA
Published: 2025-05-27
DOI: 10.32614/CRAN.package.ICtest
Author: Klaus Nordhausen ORCID iD [aut, cre], Hannu Oja ORCID iD [aut], Katariina PerkonojaORCID iD [aut], David E. Tyler [aut], Joni Virta ORCID iD [aut]
Maintainer: Klaus Nordhausen
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README,
CRAN checks: ICtest results

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