Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors.
Version: | 1.0 |
Imports: | Rcpp (≥ 0.12.7), abind, foreach, combinat, FSA, rcdd |
LinkingTo: | Rcpp |
Suggests: | gtools, label.switching, MCMCpack, doParallel |
Published: | 2016-12-21 |
Author: | Cristina Mollica [aut, cre], Luca Tardella [aut] |
Maintainer: | Cristina Mollica <cristina.mollica at uniroma1.it> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | PLMIX citation info |
CRAN checks: | PLMIX results |
Reference manual: | PLMIX.pdf |
Package source: | PLMIX_1.0.tar.gz |
Windows binaries: | r-devel: PLMIX_1.0.zip, r-release: PLMIX_1.0.zip, r-oldrel: PLMIX_1.0.zip |
OS X El Capitan binaries: | r-release: PLMIX_1.0.tgz |
OS X Mavericks binaries: | r-oldrel: PLMIX_1.0.tgz |
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