CRAN/E | nipals

nipals

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

Installation

About

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.

kwstat.github.io/nipals/
Bug report File report

Key Metrics

Version 0.8
R ≥ 3.4.0
Published 2021-09-15 948 days ago
Needs compilation? no
License GPL-3
CRAN checks nipals results

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Maintainer

Maintainer

Kevin Wright

kw.stat@gmail.com

Authors

Kevin Wright

aut / cre

Material

NEWS
Reference manual
Package source

In Views

MissingData

Vignettes

EMPCA notes
NIPALS algorithm
Comparing results and performance of NIPALS functions in R
NIPALS optimization notes

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nipals archive

Depends

R ≥ 3.4.0

Suggests

knitr
rmarkdown
testthat

Reverse Imports

areabiplot
gge

Reverse Suggests

pRoloc