LMest-package           Fit latent Markov models
RLMSdat                 Dataset about job satisfaction
blkdiag                 Build a block diagonal matrix.
bootstrap_lm_basic      Parametric bootstrap for the basic LM model
bootstrap_lm_cov_latent
                        Parametric bootstrap for LM models with
                        individual covariates in the latent model
complk                  Complete log-likelihood of the basic latent
                        Markov model
data_SRHS_long          Self-reported health status dataset
data_criminal_sim       Criminal dataset
data_drug               Dataset about marijuana consumption
decoding                Perform local and global decoding
draw_lm_basic           Draw samples from the basic LM model
draw_lm_cov_latent      Draw samples from LM model with covariaates in
                        the latent model
draw_lm_mixed           Draws samples from the mixed LM model
est_lm_basic            Estimate basic LM model
est_lm_cov_latent       Estimate LM model with covariates in the latent
                        model
est_lm_cov_manifest     Estimate LM model with covariates in the
                        measurement model
est_lm_mixed            Estimate mixed LM model
est_mc_basic            Estimate basic Markov chain (MC) model
est_mc_cov_latent       Estimate Markov chain (MC) model with
                        covariates
est_multilogit          Estimate multilogit model
expit                   Compute the expit function.
expit1                  Compute the expit function with respect to a
                        reference category.
invglob                 Invert vector of global logits.
lk_ar_rho               Compute complete log-likelihood for AR(1)
                        latent process
lk_comp_latent          Complete log-likelihood of the latent Markov
                        model with covariates
lk_obs                  Compute the observable log-likelihood of the
                        basic LM model
lk_obs_latent           Compute the observable log-likelihood of the LM
                        model with covariates in the latent model
lk_obs_manifest         Compute the observable log-likelihood of the LM
                        model with covariates in the measurement model
lk_obs_mixed            Compute the observable log-likelihood of the
                        mixed LM model
lk_sta                  Compute the stationary log-likelihood
logit1                  Compute the logit function with respect to a
                        reference category.
long2matrices           From data in the long format to data in array
                        format
long2wide               From data in the long format to data in the
                        wide format
marg_param              Compute marginal parametrization
print.LMbasic           Print the output of LMbasic object
print.LMlatent          Print the output of LMlatent object
print.LMmanifest        Print the output of LMmanifest object
print.LMmixed           Print the output of LMmixed object
print.LMsearch          Print the output of LMsearch object
print.MCbasic           Print the output of MCbasic object
print.MClatent          Print the output of MClatent object
prob_multilogit         Compute multinomial probabilities
prob_post_cov           Compute posterior probabilities.
prod_array              Compute the product of array and vector
rec1                    Recursions used by est_lm_cov_manifest
rec3                    Recursions used by est_lm_cov_manifest
recursions              Recursions used by est_lm_basic
search.model.LM         Search for the global maximum of the
                        log-likelihood
sq                      Create a matrix with the combination of vectors
                        of (1,0)
stationary              Stationary
summary.LMbasic         Print the output of LMbasic object
summary.LMlatent        Print the output of LMlatent object
summary.LMmanifest      Print the output of LMmanifest object
summary.LMmixed         Print the output of LMmixed object
summary.LMsearch        Print the output of LMsearch object
summary.MCbasic         Print the output of MCbasic object
summary.MClatent        Print the output of MClatent object
trans_par               Convert matrix parametrization
