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prinvars: Principal Variables

Provides methods for reducing the number of features within a data set. See Bauer JO (2021) <doi:10.1145/3475827.3475832> and Bauer JO, Drabant B (2021) <doi:10.1016/j.jmva.2021.104754> for more information on principal loading analysis.

Version: 1.0.0
Imports: methods, Rdpack, elasticnet, PMA
Suggests: testthat (≥ 3.0.0), AER
Published: 2023-01-09
DOI: 10.32614/CRAN.package.prinvars
Author: Jan O. Bauer [aut], Ron Holzapfel [aut, cre]
Maintainer: Ron Holzapfel <ronholzapfel at outlook.de>
BugReports: https://github.com/Ronho/prinvars/issues
License: MIT + file LICENSE
URL: https://github.com/Ronho/prinvars
NeedsCompilation: no
Materials: README
CRAN checks: prinvars results

Documentation:

Reference manual: prinvars.pdf

Downloads:

Package source: prinvars_1.0.0.tar.gz
Windows binaries: r-devel: prinvars_1.0.0.zip, r-release: prinvars_1.0.0.zip, r-oldrel: prinvars_1.0.0.zip
macOS binaries: r-release (arm64): prinvars_1.0.0.tgz, r-oldrel (arm64): prinvars_1.0.0.tgz, r-release (x86_64): prinvars_1.0.0.tgz, r-oldrel (x86_64): prinvars_1.0.0.tgz
Old sources: prinvars archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.