Man pages for LMest
Generalized Latent Markov Models

bootstrapParametric bootstrap
bootstrap_lm_basicParametric bootstrap for the basic LM model
bootstrap_lm_basic_contParametric bootstrap for the basic LM model for continuous...
bootstrap_lm_cov_latentParametric bootstrap for LM models with individual covariates...
bootstrap_lm_cov_latent_contParametric bootstrap for LM models for continuous outcomes...
data_criminal_simCriminal dataset
data_drugDataset about marijuana consumption
data_long_contMultivariate Longitudinal Continuous (Gaussian) Data
data_SRHS_longSelf-reported health status dataset
decodingPerform local and global decoding
draw_lm_basicDraw samples from the basic LM model
drawLMbasicDraw samples from the basic LM model
draw_lm_basic_contDraw samples from the basic LM model for continuous outcomes
drawLMbasiccontDraw samples from the basic LM model for continuous outcomes
draw_lm_cov_latentDraw samples from LM model with covariaates in the latent...
draw_lm_cov_latent_contDraw samples from LM model for continuous outcomes with...
drawLMlatentDraw samples from LM model with covariates in the latent...
drawLMlatentcontDraw samples from LM model for continuous outcomes with...
draw_lm_mixedDraws samples from the mixed LM model
drawLMmixedDraws samples from the mixed LM model
est_lm_basicEstimate basic LM model
est_lm_basic_contEstimate basic LM model for continuous outcomes
est_lm_cov_latentEstimate LM model with covariates in the latent model
est_lm_cov_latent_contEstimate LM model for continuous outcomes with covariates in...
est_lm_cov_manifestEstimate LM model with covariates in the measurement model
est_lm_mixedEstimate mixed LM model
est_mc_basicEstimate basic Markov chain (MC) model
est_mc_covEstimate Markov chain (MC) model with covariates
LMbasic-classClass "LMbasic"
LMbasiccont-classClass "LMbasiccont"
lmestEstimate Latent Markov models for categorical responses
lmestContEstimate Latent Markov models for continuous responses
lmestDataData for 'LMest' functions
lmestDecodingPerform local and global decoding
lmestFormulaFormulas for 'LMest' functions
lmestMcEstimate Markov Chain models
lmestMixedEstimate mixed Latent Markov models
LMest-packageOverview of the Package LMest
lmestSearchSearch for the global maximum of the log-likelihood
LMlatent-classClass "LMlatent"
LMlatentcont-classClass "LMlatentcont"
LMmanifest-classClass "LMmanifest"
LMmixed-classClass "LMmixed"
long2matricesFrom data in the long format to data in array format
long2wideFrom data in the long format to data in the wide format
matrices2longFrom data in array format to data in long format
MCbasic-classClass "MCbasic"
MCcov-classClass "MCcov"
NLSYlongNational Longitudinal Survey of Youth data
plot.LMestPlots for Generalized Latent Markov Models
printPrint the output
PSIDlongDataset about income dynamics
RLMSdatDataset about job satisfaction
RLMSlongDataset about job satisfaction
seStandard errors
search.model.LMSearch for the global maximum of the log-likelihood
summarySummary of LM fits
summary.lmestDataSummary and plot of 'lmestData'
LMest documentation built on April 25, 2022, 1:05 a.m.