| int_to_prob | Transforming a set of Multinomial logit regression intercepts to probabilities |
| mHMM | Multilevel hidden Markov model using Bayesian estimation |
| nonverbal | Nonverbal communication of patients and therapist |
| nonverbal_cov | Predictors of nonverbal communication |
| obtain_emiss | Obtain the emission distribution probabilities for a fitted multilevel HMM |
| obtain_gamma | Obtain the transition probabilities gamma for a fitted multilevel HMM |
| pd_RW_emiss_cat | Proposal distribution settings RW Metropolis sampler for mHMM categorical emission distribution(s) |
| pd_RW_emiss_count | Proposal distribution settings RW Metropolis sampler for mHMM Poisson-lognormal emission distribution(s) |
| pd_RW_gamma | Proposal distribution settings RW Metropolis sampler for mHMM transition probability matrix gamma |
| plot.mHMM | Plotting the posterior densities for a fitted multilevel HMM |
| plot.mHMM_gamma | Plotting the transition probabilities gamma for a fitted multilevel HMM |
| prior_emiss_cat | Specifying informative hyper-prior on the categorical emission distribution(s) of the multilevel hidden Markov model |
| prior_emiss_cont | Specifying informative hyper-prior on the continuous emission distribution(s) of the multilevel hidden Markov model |
| prior_emiss_count | Specifying informative hyper-priors on the count emission distribution(s) of the multilevel hidden Markov model |
| prior_gamma | Specifying informative hyper-prior on the transition probability matrix gamma of the multilevel hidden Markov model |
| prob_to_int | Transforming a set of probabilities to Multinomial logit regression intercepts |
| sim_mHMM | Simulate data using a multilevel hidden Markov model |
| var_to_logvar | Transform the between-subject variance in the positive scale to the logvariance in the logarithmic scale |
| vit_mHMM | Obtain hidden state sequence for each subject using the Viterbi algorithm |