[aut, cre]Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.
| Version: | 0.7 |
| Depends: | R (≥ 3.4.0) |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-01-24 |
| Author: | Kevin Wright
[aut, cre] |
| Maintainer: | Kevin Wright <kw.stat at gmail.com> |
| BugReports: | https://github.com/kwstat/nipals/issues |
| License: | GPL-3 |
| URL: | http://kwstat.github.io/nipals/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | MissingData |
| CRAN checks: | nipals results |
| Reference manual: | nipals.pdf |
| Vignettes: |
EMPCA notes NIPALS algorithm Comparing results and performance of NIPALS functions in R NIPALS optimization notes |
| Package source: | nipals_0.7.tar.gz |
| Windows binaries: | r-devel: nipals_0.7.zip, r-release: nipals_0.7.zip, r-oldrel: nipals_0.7.zip |
| macOS binaries: | r-release: nipals_0.7.tgz, r-oldrel: nipals_0.7.tgz |
| Old sources: | nipals archive |
| Reverse imports: | gge |
| Reverse suggests: | pRoloc |
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