# Generalized Latent Markov Models

## Documentation for package ‘LMest’ version 3.2.7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

LMest-package | Overview of the Package LMest
bootstrap | Parametric bootstrap
bootstrap.LMbasic | Parametric bootstrap
bootstrap.LMbasiccont | Parametric bootstrap
bootstrap.LMlatent | Parametric bootstrap
bootstrap.LMlatentcont | Parametric bootstrap
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
data_criminal_sim | Criminal dataset
data_drug | Dataset about marijuana consumption
data_employment_sim | Employment dataset
data_heart_sim | Health dataset
data_long_cont | Multivariate Longitudinal Continuous (Gaussian) Data
data_market_sim | Marketing dataset
data_SRHS_long | Self-reported health status dataset
decoding | Perform local and global decoding
draw | Draw simulated sample from a Generalized Latent Markov Model
draw.LMbasic | Draw simulated sample from a Generalized Latent Markov Model
draw.LMbasiccont | Draw simulated sample from a Generalized Latent Markov Model
draw.LMlatent | Draw simulated sample from a Generalized Latent Markov Model
draw.LMlatentcont | Draw simulated sample from a Generalized Latent Markov Model
draw.LMmixed | Draw simulated sample from a Generalized Latent Markov Model
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
LMbasic-class | Class "LMbasic"
LMbasiccont-class | Class "LMbasiccont"
LMest | Overview of the Package LMest
lmest | Estimate Latent Markov models for categorical responses
lmestCont | Estimate Latent Markov models for continuous responses
lmestData | Data for 'LMest' functions
lmestDecoding | Perform local and global decoding
lmestDecoding.LMbasic | Perform local and global decoding
lmestDecoding.LMbasiccont | Perform local and global decoding
lmestDecoding.LMlatent | Perform local and global decoding
lmestDecoding.LMmanifest | Perform local and global decoding
lmestDecoding.LMmixed | Perform local and global decoding
lmestFormula | Formulas for 'LMest' functions
lmestMc | Estimate Markov Chain models
lmestMixed | Estimate mixed Latent Markov models
lmestSearch | Search for the global maximum of the log-likelihood
LMlatent-class | Class "LMlatent"
LMlatentcont-class | Class "LMlatentcont"
LMmanifest-class | Class "LMmanifest"
LMmanifestcont-class | Class "LMmanifestcont"
LMmixed-class | Class "LMmixed"
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
matrices2long | From data in array format to data in long format
MCbasic-class | Class "MCbasic"
MCcov-class | Class "MCcov"
NLSYlong | National Longitudinal Survey of Youth data
plot.LMbasic | Plots for Generalized Latent Markov Models
plot.LMbasiccont | Plots for Generalized Latent Markov Models
plot.lmestData | Summary and plot of 'lmestData'
plot.LMlatent | Plots for Generalized Latent Markov Models
plot.LMlatentcont | Plots for Generalized Latent Markov Models
plot.LMsearch | Plots for Generalized Latent Markov Models
print.LMbasic | Print the output
print.LMbasiccont | Print the output
print.lmestData | Summary and plot of 'lmestData'
print.LMlatent | Print the output
print.LMlatentcont | Print the output
print.LMmanifest | Print the output
print.LMmixed | Print the output
print.LMsearch | Print the output
print.MCbasic | Print the output
print.MCcov | Print the output
PSIDlong | Dataset about income dynamics
RLMSdat | Dataset about job satisfaction
RLMSlong | Dataset about job satisfaction
se | Standard errors
se.LMbasic | Standard errors
se.LMbasiccont | Standard errors
se.LMlatent | Standard errors
se.LMlatentcont | Standard errors
search.model.LM | Search for the global maximum of the log-likelihood
summary.LMbasic | Summary of LM fits
summary.LMbasiccont | Summary of LM fits
summary.lmestData | Summary and plot of 'lmestData'
summary.LMlatent | Summary of LM fits
summary.LMlatentcont | Summary of LM fits
summary.LMmanifest | Summary of LM fits
summary.LMmixed | Summary of LM fits
summary.LMsearch | Summary of LM fits
summary.MCbasic | Summary of LM fits
summary.MCcov | Summary of LM fits