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nipals: Principal Components Analysis using NIPALS or Weighted EMPCA,with Gram-Schmidt Orthogonalization

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:1.0
Depends:R (≥ 3.4.0)
Suggests:knitr,rmarkdown,testthat
Published:2024-12-02
DOI:10.32614/CRAN.package.nipals
Author:Kevin WrightORCID iD [aut, cre, cph]
Maintainer:Kevin Wright <kw.stat at gmail.com>
BugReports:https://github.com/kwstat/nipals/issues
License:MIT + fileLICENSE
URL:https://kwstat.github.io/nipals/
NeedsCompilation:no
Materials:NEWS
In views:MissingData
CRAN checks:nipals results

Documentation:

Reference manual:nipals.html ,nipals.pdf
Vignettes:EMPCA notes (source,R code)
NIPALS algorithm (source,R code)
Comparing results and performance of NIPALS functions in R (source,R code)
NIPALS optimization notes (source,R code)

Downloads:

Package source: nipals_1.0.tar.gz
Windows binaries: r-devel:nipals_1.0.zip, r-release:nipals_1.0.zip, r-oldrel:nipals_1.0.zip
macOS binaries: r-release (arm64):nipals_1.0.tgz, r-oldrel (arm64):nipals_1.0.tgz, r-release (x86_64):nipals_1.0.tgz, r-oldrel (x86_64):nipals_1.0.tgz
Old sources: nipals archive

Reverse dependencies:

Reverse imports:areabiplot,gge,omXplore,powerPLS,scp
Reverse suggests:pRoloc

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=nipalsto link to this page.


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