Type: Package Package: partition Title: Agglomerative Partitioning Framework for Dimension Reduction Version: 0.2.2.9000 Authors@R: c( person("Joshua", "Millstein", , "joshua.millstein@usc.edu", role = "aut"), person("Malcolm", "Barrett", , "malcolmbarrett@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0299-5825")), person("Katelyn", "Queen", , "kjqueen@usc.edu", role = "aut", comment = c(ORCID = "0000-0002-8070-3042")) ) Maintainer: Malcolm Barrett Description: 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. 'partition' is based on the Partition framework discussed in Millstein et al. (2020) . License: MIT + file LICENSE URL: https://uscbiostats.github.io/partition/, https://github.com/USCbiostats/partition BugReports: https://github.com/USCbiostats/partition/issues Depends: R (>= 3.3.0) Imports: crayon, dplyr (>= 0.8.0), forcats, ggplot2 (>= 3.3.0), infotheo, magrittr, MASS, pillar, progress, purrr, Rcpp, rlang, stringr, tibble, tidyr (>= 1.0.0) Suggests: covr, genieclust, ggcorrplot, gtools, knitr, rmarkdown, spelling, testthat (>= 3.0.0) LinkingTo: Rcpp, RcppArmadillo VignetteBuilder: knitr Config/testthat/edition: 3 Config/testthat/parallel: true Encoding: UTF-8 Language: en-US LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.1 Config/pak/sysreqs: libicu-dev Repository: https://uscbiostats.r-universe.dev Date/Publication: 2024-11-10 18:31:52 UTC RemoteUrl: https://github.com/uscbiostats/partition RemoteRef: HEAD RemoteSha: bf5863a2c529c3926268071144c0750542d85e93 NeedsCompilation: yes Packaged: 2026-06-24 04:02:55 UTC; root Author: Joshua Millstein [aut], Malcolm Barrett [aut, cre] (ORCID: ), Katelyn Queen [aut] (ORCID: )