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PLMIX  

Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings
View on CRAN: Click here


Download and install PLMIX package within the R console
Install from CRAN:
install.packages("PLMIX")

Install from Github:
library("remotes")
install_github("cran/PLMIX")

Install by package version:
library("remotes")
install_version("PLMIX", "2.1.1")



Attach the package and use:
library("PLMIX")
Maintained by
Cristina Mollica
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-21
Latest Update: 2019-09-04
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) and Mollica and Tardella (2014) .
How to cite:
Cristina Mollica (2016). PLMIX: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings. R package version 2.1.1, https://cran.r-project.org/web/packages/PLMIX. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2016-12-21 17:02), 2.0.1 (2018-05-02 12:21), 2.0 (2018-02-05 16:13), 2.1.0 (2019-08-04 01:10)
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