Clustering Multinomial Count Data under the Presence of Covariates

Documentation for package ‘multinomialLogitMix’ version 1.1

multinomialLogitMix-package	Clustering Multinomial Count Data under the Presence of Covariates
dealWithLabelSwitching	Post-process the generated MCMC sample in order to undo possible label switching.
expected_complete_LL	Expected complete LL
gibbs_mala_sampler	The core of the Hybrid Gibbs/MALA MCMC sampler for the multinomial logit mixture.
gibbs_mala_sampler_ppt	Prior parallel tempering scheme of hybrid Gibbs/MALA MCMC samplers for the multinomial logit mixture.
log_dirichlet_pdf	Log-density function of the Dirichlet distribution
log_mix_prior_derivative	Proposal mechanism of the MALA step.
log_prior_mix	Proposal mechanism of the MALA step.
mala_proposal	Proposal mechanism of the MALA step.
mala_proposal_cpp	Proposal mechanism of the MALA step.
mixLoglikelihood_GLM	Log-likelihood of the multinomial logit.
mix_mnm_logistic	EM algorithm
multinomialLogitMix	Main function
multinomial_logistic_EM	Part of the EM algorithm for multinomial logit mixture
myDirichlet	Simulate from the Dirichlet distribution
newton_raphson_mstep	M-step of the EM algorithm
shakeEM_GLM	Shake-small EM
simulate_multinomial_data	Synthetic data generator
splitEM_GLM	Split-small EM scheme.