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:
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-4.5-any)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')) |
Bug tracker:https://github.com/ronho/prinvars/issues
Last updated 2 years agofrom:344a3cdf23. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 17 2025 |
| R-4.5-win | OK | Mar 17 2025 |
| R-4.5-mac | OK | Mar 17 2025 |
| R-4.5-linux | OK | Mar 17 2025 |
| R-4.4-win | OK | Mar 17 2025 |
| R-4.4-mac | OK | Mar 17 2025 |
| R-4.4-linux | OK | Mar 17 2025 |
| R-4.3-win | OK | Mar 17 2025 |
| R-4.3-mac | OK | Mar 17 2025 |
Exports:plapla.drop_blockspla.keep_blockssplastr
Dependencies:elasticnetlarsPMArbibutilsRdpack
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Block | Block-class |
| Principal Loading Analysis | pla |
| Drop Blocks | pla.drop_blocks |
| Keep Blocks | pla.keep_blocks |
| Print Function for pla S3 | print.pla |
| Block - Show | show,Block-method |
| Sparse Principal Loading Analysis | spla |
| Block - str | str,Block-method |
