Latent Markov Models with and without Covariates

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Documentation for package ‘LMest’ version 2.2

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LMest-package Fit latent Markov models
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_criminal_sim Criminal dataset
data_drug Dataset about marijuana consumption
data_SRHS_long Self-reported health status dataset
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_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
LMest Fit latent Markov models
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
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
RLMSdat Dataset about job satisfaction
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
trans_par Convert matrix parametrization