Description: 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. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi.org/10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi/10.1002/sim.6224>.
gtools (>= 3.8.1), label.switching (>= 1.6), radarchart (>=

person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inrae.fr",
person("Mahendra", "Mariadassou", role = "aut", email = "mahendra.mariadassou@inrae.fr",
person("Stéphane", "Robin", role ="ctb", email = "stephane.robin@inrae.fr")
Description: The Poisson-lognormal model and variants can be used for
a variety of multivariate problems when count data are at play, including
principal component analysis for count data (Chiquet, Mariadassou and Robin,
2018 <doi:10.1214/18-AOAS1177>), discriminant analysis and
network inference (Chiquet, Mariadassou and Robin, 2018 <http://proceedings.mlr.press/v97/chiquet19a.html>).
Implements variational algorithms to fit such models accompanied with a set of
functions for visualization and diagnostic.
Imports: methods, stats, MASS, parallel, R6, glassoFast, Matrix, Rcpp,
nloptr (>= 1.2.0), igraph, grid, gridExtra, dplyr, tidyr,
Suggests: knitr, rmarkdown, testthat, covr, pkgdown, biomformat,
LinkingTo: Rcpp, RcppArmadillo, nloptr (>= 1.2.0)
Collate: 'PLNfit-class.R' 'PLN.R' 'PLNLDA.R' 'PLNLDAfit-S3methods.R'
Author: Julien Chiquet [aut, cre] (<https://orcid.org/0000-0002-3629-3429>),

person("Stéphane", "Robin", role ="ctb", email = "stephane.robin@inrae.fr"),
person("François", "Gindraud", role = "aut", email = "francois.gindraud@gmail.com")
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin,
principal component analysis for count data, discriminant analysis, model-based clustering and
network inference. Implements variational algorithms to fit such models accompanied with a set of
Imports: methods, stats, MASS, future, future.apply, R6, glassoFast,
Matrix, Rcpp, nloptr (>= 1.2.0), igraph, grid, gridExtra,
dplyr, tidyr, purrr, ggplot2, corrplot, magrittr, rlang