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: 1.1.2 Depends: R (≥ 4.2.0) Imports: cultevo, magrittr, utils, ggplot2, pheatmap, dplyr, Polychrome, RColorBrewer, reshape2, tidyr, ComplexHeatmap, cluster, stats Suggests: kableExtra, knitr, rmarkdown, testthat Published: 2025-03-06 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DiscreteGapStatistic to link to this page.
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