Clustering Multinomial Count Data under the Presence of
Covariates
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Documentation for package ‘multinomialLogitMix’ version 1.1
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| 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. |