Package: partition
Type: Package
Title: Agglomerative Partitioning Framework for Dimension Reduction
Version: 0.1.1
Authors@R: c(
 person(
    "Joshua", 
    "Millstein", 
    role = "aut",
    email = "joshua.millstein@usc.edu"),
  person(
    "Malcolm", 
    "Barrett", 
    role = c("aut", "cre"),
    email = "malcolmbarrett@gmail.com", 
    comment = c(ORCID = "0000-0003-0299-5825")))
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
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.  
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, rlang, purrr, tibble, dplyr (>= 0.8.0), tidyr (>=
        1.0.0), ggplot2 (>= 3.0.0), stringr, magrittr, crayon, pillar,
        infotheo, MASS, forcats
Suggests: covr, spelling, testthat, knitr, rmarkdown
RoxygenNote: 7.0.0
URL: https://uscbiostats.github.io/partition/,
        https://github.com/USCbiostats/partition
BugReports: https://github.com/USCbiostats/partition/issues
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-12-12 00:50:35 UTC; malcolmbarrett
Author: Joshua Millstein [aut],
  Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)
Repository: CRAN
Date/Publication: 2019-12-12 06:30:03 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 08:44:00 UTC; windows
Archs: i386, x64
