LMest (version 3.2.5)

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

802

Version

3.2.5

License

GPL (>= 2)

Maintainer

Francesco Bartolucci

Last Published

January 8th, 2025

Functions in LMest (3.2.5)

NLSYlong

National Longitudinal Survey of Youth data

LMlatentcont-class

Class 'LMlatentcont'

RLMSdat

Dataset about job satisfaction

bootstrap_lm_basic_cont

Parametric bootstrap for the basic LM model for continuous outcomes

bootstrap

Parametric bootstrap

decoding

Perform local and global decoding

bootstrap_lm_cov_latent

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

PSIDlong

Dataset about income dynamics

draw_lm_basic

Draw samples from the basic LM model

draw_lm_basic_cont

Draw samples from the basic LM model for continuous outcomes

LMmanifest-class

Class 'LMmanifest'

bootstrap_lm_basic

Parametric bootstrap for the basic LM model

data_criminal_sim

Criminal dataset

draw_lm_mixed

Draws samples from the mixed LM model

data_long_cont

Multivariate Longitudinal Continuous (Gaussian) Data

est_lm_basic

Estimate basic LM model

data_SRHS_long

Self-reported health status dataset

data_market_sim

Marketing dataset

bootstrap_lm_cov_latent_cont

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

data_heart_sim

Health dataset

est_lm_mixed

Estimate mixed LM model

RLMSlong

Dataset about job satisfaction

draw_lm_cov_latent

Draw samples from LM model with covariaates in the latent model

data_drug

Dataset about marijuana consumption

data_employment_sim

Employment dataset

draw_lm_cov_latent_cont

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

lmestSearch

Search for the global maximum of the log-likelihood

est_lm_basic_cont

Estimate basic LM model for continuous outcomes

est_mc_basic

Estimate basic Markov chain (MC) model

lmestCont

Estimate Latent Markov models for continuous responses

lmestData

Data for LMest functions

long2matrices

From data in the long format to data in array format

est_lm_cov_latent

Estimate LM model with covariates in the latent model

lmestDecoding

Perform local and global decoding

lmestFormula

Formulas for LMest functions

long2wide

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

lmestMc

Estimate Markov Chain models

est_lm_cov_manifest

Estimate LM model with covariates in the measurement model

est_lm_cov_latent_cont

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

draw

Draw simulated sample from a Generalized Latent Markov Model

est_mc_cov

Estimate Markov chain (MC) model with covariates

matrices2long

From data in array format to data in long format

lmest

Estimate Latent Markov models for categorical responses

search.model.LM

Search for the global maximum of the log-likelihood

Standard errors

plot

Plots for Generalized Latent Markov Models

lmestMixed

Estimate mixed Latent Markov models

Summary and plot of lmestData

LMmixed-class

Class 'LMmixed'

LMest-package

Overview of the Package LMest

Class 'LMmanifestcont'

LMbasiccont-class

Class 'LMbasiccont'