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_long_cont |
Multivariate Longitudinal Continuous (Gaussian) Data |
data_SRHS_long |
Self-reported health status dataset |
decoding |
Perform local and global decoding |
drawLMbasic |
Draw samples from the basic LM model |
drawLMbasiccont |
Draw samples from the basic LM model for continuous outcomes |
drawLMlatent |
Draw samples from LM model with covariates in the latent model |
drawLMlatentcont |
Draw samples from LM model for continuous outcomes with covariates in the latent model |
drawLMmixed |
Draws samples from the mixed LM 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 |