DiscreteGapStatistic: An Extension of the Gap Statistic for Ordinal/Categorical Data

The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data.

Version:	0.1.0
Depends:	R (≥ 4.2.0)
Imports:	cultevo, magrittr, utils, ggplot2, pheatmap, dplyr, Polychrome, RColorBrewer, reshape2, tidyr, ComplexHeatmap
Suggests:	cluster, knitr, rmarkdown, kableExtra, testthat
Published:	2024-10-25
DOI:	10.32614/CRAN.package.DiscreteGapStatistic
Author:	Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre]
Maintainer:	Eduardo Cortes <ecortesg at buffalo.edu>
License:	MIT + file LICENSE
URL:	https://github.com/ecortesgomez/DiscreteGapStatistic
NeedsCompilation:	no
Materials:	README
CRAN checks:	DiscreteGapStatistic results

Documentation:

Reference manual:

DiscreteGapStatistic.pdf

Downloads:

Package source:	DiscreteGapStatistic_0.1.0.tar.gz
Windows binaries:	r-devel: DiscreteGapStatistic_0.1.0.zip, r-release: DiscreteGapStatistic_0.1.0.zip, r-oldrel: DiscreteGapStatistic_0.1.0.zip
macOS binaries:	r-release (arm64): DiscreteGapStatistic_0.1.0.tgz, r-oldrel (arm64): DiscreteGapStatistic_0.1.0.tgz, r-release (x86_64): DiscreteGapStatistic_0.1.0.tgz, r-oldrel (x86_64): DiscreteGapStatistic_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DiscreteGapStatistic to link to this page.