The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

multinomialLogitMix: Clustering Multinomial Count Data under the Presence of Covariates

Methods for model-based clustering of multinomial counts under the presence of covariates using mixtures of multinomial logit models, as implemented in Papastamoulis (2023) <doi:10.1007/s11634-023-00547-5>. These models are estimated under a frequentist as well as a Bayesian setup using the Expectation-Maximization algorithm and Markov chain Monte Carlo sampling (MCMC), respectively. The (unknown) number of clusters is selected according to the Integrated Completed Likelihood criterion (for the frequentist model), and estimating the number of non-empty components using overfitting mixture models after imposing suitable sparse prior assumptions on the mixing proportions (in the Bayesian case), see Rousseau and Mengersen (2011) <doi:10.1111/j.1467-9868.2011.00781.x>. In the latter case, various MCMC chains run in parallel and are allowed to switch states. The final MCMC output is suitably post-processed in order to undo label switching using the Equivalence Classes Representatives (ECR) algorithm, as described in Papastamoulis (2016) <doi:10.18637/jss.v069.c01>.

Version: 1.1
Imports: Rcpp (≥ 1.0.8.3), MASS, doParallel, foreach, label.switching, ggplot2, coda, matrixStats, mvtnorm, RColorBrewer
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-07-17
DOI: 10.32614/CRAN.package.multinomialLogitMix
Author: Panagiotis Papastamoulis ORCID iD [aut, cre]
Maintainer: Panagiotis Papastamoulis <papapast at yahoo.gr>
License: GPL-2
NeedsCompilation: yes
Citation: multinomialLogitMix citation info
CRAN checks: multinomialLogitMix results

Documentation:

Reference manual: multinomialLogitMix.pdf

Downloads:

Package source: multinomialLogitMix_1.1.tar.gz
Windows binaries: r-devel: multinomialLogitMix_1.1.zip, r-release: multinomialLogitMix_1.1.zip, r-oldrel: multinomialLogitMix_1.1.zip
macOS binaries: r-release (arm64): multinomialLogitMix_1.1.tgz, r-oldrel (arm64): multinomialLogitMix_1.1.tgz, r-release (x86_64): multinomialLogitMix_1.1.tgz, r-oldrel (x86_64): multinomialLogitMix_1.1.tgz
Old sources: multinomialLogitMix archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.