CRAN/E | partition

partition

Agglomerative Partitioning Framework for Dimension Reduction

Installation

About

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) doi:10.1093/bioinformatics/btz661.

Citation partition citation info
uscbiostats.github.io/partition/
github.com/USCbiostats/partition
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 3.3.0
Published 2024-01-24 65 days ago
Needs compilation? yes
License MIT
License File
CRAN checks partition results
Language en-US

Downloads

Yesterday 22 0%
Last 7 days 63 -16%
Last 30 days 324 -30%
Last 90 days 1.299 +51%
Last 365 days 3.894 -0%

Maintainer

Maintainer

Malcolm Barrett

malcolmbarrett@gmail.com

Authors

Joshua Millstein

aut

Malcolm Barrett

aut / cre

Katelyn Queen

aut

Material

README
NEWS
Reference manual
Package source

Vignettes

Extending partition
Introduction to Partition

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

partition archive

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

Reverse Imports

modACDC