nipals v0.3

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Principal Components Analysis using NIPALS with Gram-Schmidt Orthogonalization

Principal Components Analysis of a matrix using Non-linear Iterative Partial Least Squares with Gram-Schmidt orthogonalization of the scores and loadings. Optimized for speed. See Andrecut (2009) <doi:10.1089/cmb.2008.0221>.

Functions in nipals

Name Description
uscrime U.S. Crime rates per 100,00 people
nipals Principal component analysis by NIPALS, non-linear iterative partial least squares
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Vignettes of nipals

Name
nipals.bib
nipals_algorithm.Rmd
nipals_comparisons.Rmd
nipals_optimization.Rmd
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Details

License GPL-3
Encoding UTF-8
LazyData true
URL https://github.com/kwstat/nipals
BugReports https://github.com/kwstat/nipals/issues
VignetteBuilder knitr
RoxygenNote 6.0.1
NeedsCompilation no
Packaged 2017-11-14 17:09:24 UTC; wrightkevi
Repository CRAN
Date/Publication 2017-11-14 18:50:02 UTC
suggests knitr , rmarkdown , testthat
depends R (>= 3.4.0)
Contributors

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