This package is considered a duplicate. The official version of this package is found at:https://francescobartolucci.r-universe.dev/LMest

Package: LMest 3.2.8

Francesco Bartolucci

LMest: Generalized Latent Markov Models

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.

Authors:Francesco Bartolucci [aut, cre], Silvia Pandolfi [aut], Fulvia Pennoni [aut], Alessio Farcomeni [ctb], Alessio Serafini [ctb]

LMest_3.2.8.tar.gz
LMest_3.2.8.tar.gz(r-4.7-arm64)LMest_3.2.8.tar.gz(r-4.7-x86_64)LMest_3.2.8.tar.gz(r-4.6-arm64)LMest_3.2.8.tar.gz(r-4.6-x86_64)
LMest_3.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LMest/json (API)

# Install 'LMest' in R:

install.packages('LMest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
fortran– Runtime library for GNU Fortran applications

Datasets:

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
NLSYlong - National Longitudinal Survey of Youth data
PSIDlong - Dataset about income dynamics
RLMSdat - Dataset about job satisfaction
RLMSlong - Dataset about job satisfaction

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas fortran

4.54 score 4 stars 58 scripts 811 downloads 5 mentions 33 exports 12 dependencies

Last updated from:406fb733a2. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	347
linux-devel-x86_64	OK	166
source / vignettes	OK	247
linux-release-arm64	OK	196
linux-release-x86_64	OK	210
wasm-release	OK	115

Exports:bootstrap bootstrap_lm_basic bootstrap_lm_basic_cont bootstrap_lm_cov_latent bootstrap_lm_cov_latent_cont decoding draw draw_lm_basic draw_lm_basic_cont draw_lm_cov_latent draw_lm_cov_latent_cont draw_lm_mixed est_lm_basic est_lm_basic_cont est_lm_cov_latent est_lm_cov_latent_cont est_lm_cov_manifest est_lm_mixed est_mc_basic est_mc_cov lmest lmestCont lmestData lmestDecoding lmestFormula lmestMc lmestMixed lmestSearch long2matrices long2wide matrices2long se search.model.LM

Dependencies:diagram Formula limSolve lpSolve MASS mclust mix MultiLCIRT mvtnorm quadprog scatterplot3d shape

Introduction to LMest

Bartolucci, F., Pandolfi, S., Pennoni, F., Serafini, A.

Rendered fromvignetteLMest.Rmdusingknitr::rmarkdownon Jun 13 2026.

Last update: 2024-08-31
Started: 2020-09-12

Citation

Readme and manuals

Help Manual

Help page	Topics
Overview of the Package LMest	LMest-package LMest
Parametric bootstrap	bootstrap bootstrap.LMbasic bootstrap.LMbasiccont bootstrap.LMlatent bootstrap.LMlatentcont
Parametric bootstrap for the basic LM model	bootstrap_lm_basic
Parametric bootstrap for the basic LM model for continuous outcomes	bootstrap_lm_basic_cont
Parametric bootstrap for LM models with individual covariates in the latent model	bootstrap_lm_cov_latent
Parametric bootstrap for LM models for continuous outcomes with individual covariates in the latent model	bootstrap_lm_cov_latent_cont
Criminal dataset	data_criminal_sim
Dataset about marijuana consumption	data_drug
Employment dataset	data_employment_sim
Health dataset	data_heart_sim
Multivariate Longitudinal Continuous (Gaussian) Data	data_long_cont
Marketing dataset	data_market_sim
Self-reported health status dataset	data_SRHS_long
Perform local and global decoding	decoding
Draw simulated sample from a Generalized Latent Markov Model	draw draw.LMbasic draw.LMbasiccont draw.LMlatent draw.LMlatentcont draw.LMmixed
Draw samples from the basic LM model	draw_lm_basic
Draw samples from the basic LM model for continuous outcomes	draw_lm_basic_cont
Draw samples from LM model with covariaates in the latent model	draw_lm_cov_latent
Draw samples from LM model for continuous outcomes with covariaates in the latent model	draw_lm_cov_latent_cont
Draws samples from the mixed LM model	draw_lm_mixed
Estimate basic LM model	est_lm_basic
Estimate basic LM model for continuous outcomes	est_lm_basic_cont
Estimate LM model with covariates in the latent model	est_lm_cov_latent
Estimate LM model for continuous outcomes with covariates in the latent model	est_lm_cov_latent_cont
Estimate LM model with covariates in the measurement model	est_lm_cov_manifest
Estimate mixed LM model	est_lm_mixed
Estimate basic Markov chain (MC) model	est_mc_basic
Estimate Markov chain (MC) model with covariates	est_mc_cov
Class ''LMbasic''	LMbasic-class
Class ''LMbasiccont''	LMbasiccont-class
Estimate Latent Markov models for categorical responses	lmest
Estimate Latent Markov models for continuous responses	lmestCont
Data for 'LMest' functions	lmestData
Perform local and global decoding	lmestDecoding lmestDecoding.LMbasic lmestDecoding.LMbasiccont lmestDecoding.LMlatent lmestDecoding.LMmanifest lmestDecoding.LMmixed
Formulas for 'LMest' functions	lmestFormula
Estimate Markov Chain models	lmestMc
Estimate mixed Latent Markov models	lmestMixed
Search for the global maximum of the log-likelihood	lmestSearch
Class ''LMlatent''	LMlatent-class
Class ''LMlatentcont''	LMlatentcont-class
Class ''LMmanifest''	LMmanifest-class
Class ''LMmanifestcont''	LMmanifestcont-class
Class ''LMmixed''	LMmixed-class
From data in the long format to data in array format	long2matrices
From data in the long format to data in the wide format	long2wide
From data in array format to data in long format	matrices2long
Class ''MCbasic''	MCbasic-class
Class ''MCcov''	MCcov-class
National Longitudinal Survey of Youth data	NLSYlong
Plots for Generalized Latent Markov Models	plot.LMbasic plot.LMbasiccont plot.LMlatent plot.LMlatentcont plot.LMsearch
Print the output	print.LMbasic print.LMbasiccont print.LMlatent print.LMlatentcont print.LMmanifest print.LMmixed print.LMsearch print.MCbasic print.MCcov
Dataset about income dynamics	PSIDlong
Dataset about job satisfaction	RLMSdat
Dataset about job satisfaction	RLMSlong
Standard errors	se se.LMbasic se.LMbasiccont se.LMlatent se.LMlatentcont
Search for the global maximum of the log-likelihood	search.model.LM
Summary of LM fits	summary.LMbasic summary.LMbasiccont summary.LMlatent summary.LMlatentcont summary.LMmanifest summary.LMmixed summary.LMsearch summary.MCbasic summary.MCcov
Summary and plot of 'lmestData'	plot.lmestData print.lmestData summary.lmestData