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-4.7)prinvars_1.0.0.zip(r-4.6)prinvars_1.0.0.zip(r-4.5)
prinvars_1.0.0.tgz(r-4.6-any)prinvars_1.0.0.tgz(r-4.5-any)
prinvars_1.0.0.tar.gz(r-4.7-any)prinvars_1.0.0.tar.gz(r-4.6-any)
prinvars_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
prinvars/json (API)

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

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

On CRAN:

Conda:

3.00 score 2 stars 2 scripts 185 downloads 5 exports 5 dependencies

Last updated from:344a3cdf23. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK187
linux-release-x86_64OK109
macos-release-arm64OK146
macos-oldrel-arm64OK168
windows-develOK118
windows-releaseOK75
windows-oldrelOK76
wasm-releaseOK106

Exports:plapla.drop_blockspla.keep_blockssplastr

Dependencies:elasticnetlarsPMArbibutilsRdpack