LMest-package | Fit latent Markov models |
blkdiag | Build a block diagonal matrix. |
bootstrap_lm_basic | Parametric bootstrap for the basic LM model |
bootstrap_lm_basic_cont | Parametric bootstrap for the basic LM model for continuous outcomes |
bootstrap_lm_cov_latent | Parametric bootstrap for LM models with individual covariates in the latent model |
bootstrap_lm_cov_latent_cont | Parametric bootstrap for LM models for continuous outcomes with individual covariates in the latent model |
complk | Complete log-likelihood of the basic latent Markov model |
complk_cont | Complete log-likelihood of the basic latent Markov model for continuous outcomes |
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_basic_cont | Draw samples from the basic LM model for continuous outcomes |
draw_lm_cov_latent | Draw samples from LM model with covariaates in the latent model |
draw_lm_cov_latent_cont | Draw samples from LM model for continuous outcomes 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_basic_cont | Estimate basic LM model for continuous outcomes |
est_lm_cov_latent | Estimate LM model with covariates in the latent model |
est_lm_cov_latent_cont | Estimate LM model for continuous outcomes 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 | 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_comp_latent_cont | Complete log-likelihood of the latent Markov model for continuous outcomes 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.LMbasiccont | Print the output of LMbasiccont object |
print.LMlatent | Print the output of LMlatent object |
print.LMlatentcont | Print the output of LMlatentcont 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. |
prob_post_cov_cont | 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.LMbasiccont | Print the output of LMbasiccont object |
summary.LMlatent | Print the output of LMlatent object |
summary.LMlatentcont | Print the output of LMlatentcont 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 |