Package: prinvars 1.0.0

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.

Authors:Jan O. Bauer [aut], Ron Holzapfel [aut, cre]

prinvars_1.0.0.tar.gz
prinvars_1.0.0.zip(r-4.5)prinvars_1.0.0.zip(r-4.4)prinvars_1.0.0.zip(r-4.3)
prinvars_1.0.0.tgz(r-4.4-any)prinvars_1.0.0.tgz(r-4.3-any)
prinvars_1.0.0.tar.gz(r-4.5-noble)prinvars_1.0.0.tar.gz(r-4.4-noble)
prinvars_1.0.0.tgz(r-4.4-emscripten)prinvars_1.0.0.tgz(r-4.3-emscripten)
prinvars.pdf |prinvars.html
prinvars/json (API)

# Install 'prinvars' in R:
install.packages('prinvars', repos = c('https://ronho.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ronho/prinvars/issues

On CRAN:

3.00 score 2 stars 2 scripts 115 downloads 5 exports 5 dependencies

Last updated 2 years agofrom:344a3cdf23. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winOKNov 03 2024
R-4.5-linuxOKNov 03 2024
R-4.4-winOKNov 03 2024
R-4.4-macOKNov 03 2024
R-4.3-winOKNov 03 2024
R-4.3-macOKNov 03 2024

Exports:plapla.drop_blockspla.keep_blockssplastr

Dependencies:elasticnetlarsPMArbibutilsRdpack