A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. 'partition' is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized.
Version: | 0.1.1 |
Depends: | R (≥ 3.3.0) |
Imports: | Rcpp, rlang, purrr, tibble, dplyr (≥ 0.8.0), tidyr (≥ 1.0.0), ggplot2 (≥ 3.0.0), stringr, magrittr, crayon, pillar, infotheo, MASS, forcats |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | covr, spelling, testthat, knitr, rmarkdown |
Published: | 2019-12-12 |
Author: | Joshua Millstein [aut],
Malcolm Barrett |
Maintainer: | Malcolm Barrett <malcolmbarrett at gmail.com> |
BugReports: | https://github.com/USCbiostats/partition/issues |
License: | MIT + file LICENSE |
URL: | https://uscbiostats.github.io/partition/, https://github.com/USCbiostats/partition |
NeedsCompilation: | yes |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | partition results |
Reference manual: | partition.pdf |
Vignettes: |
Extending partition Introduction to Partition |
Package source: | partition_0.1.1.tar.gz |
Windows binaries: | r-prerelease: partition_0.1.1.zip, r-release: partition_0.1.1.zip, r-oldrel: partition_0.1.1.zip |
macOS binaries: | r-prerelease: partition_0.1.1.tgz, r-release: partition_0.1.1.tgz, r-oldrel: partition_0.1.1.tgz |
Old sources: | partition archive |
Please use the canonical form https://CRAN.R-project.org/package=partition to link to this page.