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LMest (version 2.6.1)

Generalized Latent Markov Models

Description

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017).

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Version

Install

install.packages('LMest')

Monthly Downloads

511

Version

2.6.1

License

GPL (>= 2)

Maintainer

Francesco Bartolucci

Last Published

April 19th, 2020

Functions in LMest (2.6.1)

data_criminal_sim

Criminal dataset

decoding

Perform local and global decoding

RLMSlong

Dataset about job satisfaction

bootstrap

Parametric bootstrap

bootstrap_lm_basic

Parametric bootstrap for the basic LM model

drawLMbasic

Draw samples from the basic LM model

drawLMlatentcont

Draw samples from LM model for continuous outcomes with covariates in the latent model

bootstrap_lm_basic_cont

Parametric bootstrap for the basic LM model for continuous outcomes

drawLMlatent

Draw samples from LM model with covariates in the latent model

LMlatent-class

Class 'LMlatent'

draw_lm_basic_cont

Draw samples from the basic LM model for continuous outcomes

data_SRHS_long

Self-reported health status dataset

bootstrap_lm_cov_latent

Parametric bootstrap for LM models with individual covariates in the latent model

data_drug

Dataset about marijuana consumption

drawLMbasiccont

Draw samples from the basic LM model for continuous outcomes

bootstrap_lm_cov_latent_cont

Parametric bootstrap for LM models for continuous outcomes with individual covariates in the latent model

est_lm_cov_manifest

Estimate LM model with covariates in the measurement model

lmest

Estimate Latent Markov models

draw_lm_cov_latent

Draw samples from LM model with covariaates in the latent model

lmestCont

Estimate Latent Markov models for continuous responses

draw_lm_basic

Draw samples from the basic LM model

drawLMmixed

Draws samples from the mixed LM model

est_lm_mixed

Estimate mixed LM model

lmestFormula

Formulas for LMest functions

est_mc_basic

Estimate basic Markov chain (MC) model

Print the output

lmestMc

Estimate Markov Chain models

matrices2long

From data in array format to data in long format

Standard errors

draw_lm_mixed

Draws samples from the mixed LM model

draw_lm_cov_latent_cont

Draw samples from LM model for continuous outcomes with covariaates in the latent model

est_mc_cov

Estimate Markov chain (MC) model with covariates

est_lm_cov_latent

Estimate LM model with covariates in the latent model

lmestDecoding

Perform local and global decoding

lmestData

Data for LMest functions

est_lm_cov_latent_cont

Estimate LM model for continuous outcomes with covariates in the latent model

search.model.LM

Search for the global maximum of the log-likelihood

lmestMixed

Estimate mixed Latent Markov models

est_lm_basic

Estimate basic LM model

lmestSearch

Search for the global maximum of the log-likelihood

summary

Summary of LM fits

summary.lmestData

Summary and plot of lmestData

long2wide

From data in the long format to data in the wide format

est_lm_basic_cont

Estimate basic LM model for continuous outcomes

long2matrices

From data in the long format to data in array format

Class 'LMlatentcont'

LMbasiccont-class

Class 'LMbasiccont'

MCbasic-class

Class 'MCbasic'

LMest-package

Overview of the Package LMest

LMmanifest-class

Class 'LMmanifest'

RLMSdat

Dataset about job satisfaction