Type: Package Package: VICatMix Title: Variational Mixture Models for Clustering Categorical Data Version: 1.0 Date: 2024-11-25 Authors@R: c(person("Jackie", "Rao", email = "jackie.rao@mrc-bsu.cam.ac.uk", role = c("aut", "cre")), person(c("Paul", "D.W"), "Kirk", email = "paul.kirk@mrc-bsu.cam.ac.uk", role = "ths"), person("Sara", "Wade", email = "sara.wade@ed.ac.uk", role = "ctb"), person("Colin", "Starr", email = "colin.starr@mrc-bsu.cam.ac.uk", role = "ctb"), person("John", "Maddock", email = "john@johnmaddock.co.uk", role = "cph", comment = "Author of original version of digamma header (digamma.h).")) Maintainer: Jackie Rao Description: A variational Bayesian finite mixture model for the clustering of categorical data, and can implement variable selection and semi-supervised outcome guiding if desired. Incorporates an option to perform model averaging over multiple initialisations to reduce the effects of local optima and improve the automatic estimation of the true number of clusters. For further details, see the paper by Rao and Kirk (2024) . License: GPL (>= 3) URL: https://github.com/j-ackierao/VICatMix BugReports: https://github.com/j-ackierao/VICatMix/issues Imports: klaR, matrixStats, mcclust, Rcpp, stats, gtools Suggests: doParallel, doRNG, foreach, parallel LinkingTo: Rcpp, RcppArmadillo Encoding: UTF-8 RoxygenNote: 7.3.1 Depends: R (>= 2.10) Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libx11-dev zlib1g-dev Repository: https://j-ackierao.r-universe.dev Date/Publication: 2024-11-27 12:47:17 UTC RemoteUrl: https://github.com/j-ackierao/vicatmix RemoteRef: HEAD RemoteSha: 069694524f11ee091916b18940a92578cb79076c NeedsCompilation: yes Packaged: 2026-10-08 08:53:02 UTC; root Author: Jackie Rao [aut, cre], Paul D.W Kirk [ths], Sara Wade [ctb], Colin Starr [ctb], John Maddock [cph] (Author of original version of digamma header (digamma.h).)