tools:::Rd_package_description("multinomialLogitMix")
tools:::Rd_package_author("multinomialLogitMix")
Maintainer: tools:::Rd_package_maintainer("multinomialLogitMix")
The DESCRIPTION file:
tools:::Rd_package_DESCRIPTION("multinomialLogitMix")
tools:::Rd_package_indices("multinomialLogitMix")
See the main function of the package: multinomialLogitMix, which wraps automatically calls to the MCMC sampler gibbs_mala_sampler_ppt and the EM algorithm mix_mnm_logistic.
Papastamoulis, P. Model based clustering of multinomial count data. Advances in Data Analysis and Classification (2023). https://doi.org/10.1007/s11634-023-00547-5
Papastamoulis, P. and Iliopoulos, G. (2010). An Artificial Allocations Based Solution to the Label Switching Problem in Bayesian Analysis of Mixtures of Distributions. Journal of Computational and Graphical Statistics, 19(2), 313-331. http://www.jstor.org/stable/25703571
Papastamoulis, P. (2016). label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs. Journal of Statistical Software, Code Snippets, 69(1), 1-24. https://doi.org/10.18637/jss.v069.c01
Rousseau, J. and Mengersen, K. (2011), Asymptotic behaviour of the posterior distribution in overfitted mixture models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73: 689-710. https://doi.org/10.1111/j.1467-9868.2011.00781.x
multinomialLogitMix, gibbs_mala_sampler_ppt,mix_mnm_logistic