Multilevel Hidden Markov Models Using Bayesian Estimation

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Documentation for package ‘mHMMbayes’ version 1.1.0

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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