Nothing
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.
Package details |
|
|---|---|
| Author | Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut] (<https://orcid.org/0000-0002-4945-5976>), David E. Tyler [aut], Joni Virta [aut] (<https://orcid.org/0000-0002-2150-2769>) |
| Maintainer | Klaus Nordhausen <klaus.k.nordhausen@jyu.fi> |
| License | GPL (>= 2) |
| Version | 0.3-5 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the ICtest package in your browser
Any scripts or data that you put into this service are public.
