doi:10.1007/s11634-018-0324-3>.">

clustord: Cluster Ordinal Data via Proportional Odds or Ordered Stereotype (original) (raw)

Biclustering, row clustering and column clustering using the proportional odds model (POM), ordered stereotype model (OSM) or binary model for ordinal categorical data. Fernández, D., Arnold, R., Pledger, S., Liu, I., & Costilla, R. (2019) <doi:10.1007/s11634-018-0324-3>.

Version: 1.3.4
Depends: R (≥ 3.5.0), stats, utils
Imports: Rcpp (≥ 1.0.1), MASS, nnet, flexclust, methods
LinkingTo: Rcpp, RcppArmadillo, RcppClock
Suggests: knitr, formatR, rmarkdown, testthat (≥ 2.1.0), multgee, parallel
Published: 2025-05-29
DOI: 10.32614/CRAN.package.clustord
Author: Louise McMillan ORCID iD [aut, cre, cph], Daniel Fernández MartínezORCID iD [aut], Ying Cui [aut], Eleni Matechou ORCID iD [aut], W. N. Venables [ctb, cph] (clustord osm regression functions and S3 methods derived by Louise McMillan from MASS package polr function by Venables and Ripley), B. D. Ripley [ctb, cph] (clustord osm regression functions and S3 methods derived by Louise McMillan from MASS package polr function by Venables and Ripley)
Maintainer: Louise McMillan <louise.mcmillan at vuw.ac.nz>
License: GPL-3
URL: https://vuw-clustering.github.io/clustord/
NeedsCompilation: yes
Citation: clustord citation info
Materials: README
CRAN checks: clustord results

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