Man pages for LMest
Generalized Latent Markov Models
| bootstrap | 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... |
| bootstrap_lm_cov_latent | Parametric bootstrap for LM models with individual covariates... |
| bootstrap_lm_cov_latent_cont | Parametric bootstrap for LM models for continuous outcomes... |
| 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_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... |
| draw_lm_cov_latent_cont | Draw samples from LM model for continuous outcomes with... |
| 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... |
| 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 | 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 |
| lmestFormula | Formulas for 'LMest' functions |
| lmestMc | Estimate Markov Chain models |
| lmestMixed | Estimate mixed Latent Markov models |
| LMest-package | Overview of the Package LMest |
| 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.LMest | Plots for Generalized Latent Markov Models |
| Print the output | |
| PSIDlong | Dataset about income dynamics |
| RLMSdat | Dataset about job satisfaction |
| RLMSlong | Dataset about job satisfaction |
| se | Standard errors |
| search.model.LM | Search for the global maximum of the log-likelihood |
| summary | Summary of LM fits |
| summary.lmestData | Summary and plot of 'lmestData' |
