Package: LCPA
Type: Package
Title: A General Framework for Latent Class and Profile Analysis
Version: 1.0.4
Date: 2026-09-2
Author: Haijiang Qin [aut, cre, cph] (ORCID:
        <https://orcid.org/0009-0000-6721-5653>), Lei Guo [aut, cph]
        (ORCID: <https://orcid.org/0000-0002-8273-3587>)
Authors@R: c(person(given = "Haijiang", 
                    family = "Qin", 
                    role = c("aut", "cre", "cph"), 
                    email = "haijiang133@outlook.com", 
                    comment = c(ORCID = "0009-0000-6721-5653")),
             person(given = "Lei", 
                    family = "Guo", 
                    role = c("aut", "cph"), 
                    email = "happygl1229@swu.edu.cn", 
                    comment = c(ORCID = "0000-0002-8273-3587")))
Maintainer: Haijiang Qin <haijiang133@outlook.com>
Description: Provides a unified framework for finite-mixture latent
        variable models, including latent class analysis (LCA), latent
        profile analysis (LPA), latent class/profile analysis with
        covariates, and latent transition analysis (LTA), within one
        consistent interface. Estimation methods include the
        expectation-maximization (EM) algorithm; neural network
        estimation, which requires 'Python' and its dependent
        libraries; integration with 'Mplus', which requires an
        installed copy of 'Mplus'; and stochastic EM (SEM) through the
        optional 'flexmix', 'Rmixmod', and 'RMixtComp' backends.
        'flexmix' and the default 'Rmixmod' path perform configurable
        warm-up trajectories and promote the best candidates to full
        SEM replications. 'Rmixmod' additionally exposes its native
        strategy interface, including chained SEM-to-EM estimation,
        whereas 'RMixtComp' exposes its native SEM and Gibbs controls
        without the external warm-up stage. Model assessment includes
        the Akaike information criterion (AIC), Bayesian information
        criterion (BIC), Schwarz information criterion (SIC),
        consistent AIC (CAIC), approximate weight of evidence (AWE),
        sample-size-adjusted BIC (SABIC), entropy, and average
        posterior probabilities. Model-comparison procedures include
        the ordinary likelihood-ratio test, the Mplus TECH11
        Vuong-Lo-Mendell-Rubin and adjusted Lo-Mendell-Rubin tests, and
        fixed-replicate or sequential parametric bootstrap
        likelihood-ratio tests. Standard errors can be estimated by
        nonparametric bootstrap, numerical observed information, or
        analytic observed information based on Louis' identity.
        Classification-error-adjusted maximum-likelihood and
        Bolck-Croon-Hagenaars three-step methods support covariates
        predicting latent membership, initial-status and transition
        regressions, and latent classes or states predicting continuous
        and categorical external observed dependent variables.
        Simulation, posterior-probability, classification-error,
        extraction, summary, plotting, model-adjustment, and update
        utilities are also provided for reproducible workflows.
License: GPL-3
Depends: R (>= 4.1.0)
Imports: reticulate, methods, CompQuadForm, clue, ggplot2, tidyr,
        dplyr, mvtnorm, Matrix, MASS, MplusAutomation, tidyselect,
        numDeriv, nloptr, patchwork, Rcpp, reshape2, scales
Suggests: flexmix, Rmixmod, RMixtComp, RMixtCompUtilities
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Collate: 'adjust.response.R' 'adjust.model.R' 'check.response.R'
        'compare.model.R' 'EM.LCA.R' 'EM.LPA.R' 'get.AvePP.R'
        'get.CEP.R' 'get.entropy.R' 'get.fit.index.R'
        'get.Log.Lik.LCA.R' 'get.Log.Lik.LPA.R' 'get.Log.Lik.LTA.R'
        'get.npar.LCA.R' 'get.npar.LPA.R' 'get.npar.LTA.R'
        'get.P.Z.Xn.LCA.R' 'get.P.Z.Xn.LPA.R' 'get.SE.R'
        'three.step.utils.R' 'ZY.utils.R' 'ML.ZY.utils.R'
        'BCH.XZ.utils.R' 'install_python_dependencies.R' 'Kmeans.LCA.R'
        'Kmeans.LPA.R' 'LCA.R' 'ML.XZ.LCPA.R' 'BCH.XZ.LCPA.R'
        'XZ.LCPA.R' 'BCH.ZY.LCPA.R' 'ML.ZY.LCPA.R' 'ZY.LCPA.R' 'LCPA.R'
        'logit.R' 'LPA.R' 'ML.XZ.LTA.R' 'BCH.XZ.LTA.R' 'XZ.LTA.R'
        'BCH.ZY.LTA.R' 'ML.ZY.LTA.R' 'ZY.LTA.R' 'LTA.R' 'LRT.test.R'
        'LRT.test.Bootstrap.R' 'LRT.test.VLMR.R' 'Mplus.LCA.R'
        'Mplus.LPA.R' 'normalize.R' 'plotResponse.R' 'Rmixmod.utils.R'
        'Rmixmod.LCA.R' 'Rmixmod.LPA.R' 'RMixtComp.utils.R'
        'RMixtComp.LCA.R' 'RMixtComp.LPA.R' 'flexmix.utils.R'
        'flexmix.LCA.R' 'flexmix.LPA.R' 'RcppExports.R' 'rdirichlet.R'
        'S3extract.R' 'S3plot.R' 'S3print.R' 'S3summary.R' 'S3update.R'
        'simulation.utils.R' 'sim.correlation.R' 'sim.LCA.R'
        'sim.LPA.R' 'sim.LTA.R' 'tools.R' 'utils.R' 'zzz.R'
Config/roxygen2/version: 8.1.0
Packaged: 2026-09-22 11:21:45 UTC; root
Config/pak/sysreqs: cmake texlive libicu-dev libpng-dev libssl-dev
        python3
Repository: https://haijiangq.r-universe.dev
Date/Publication: 2026-09-06 22:50:10 UTC
RemoteUrl: https://github.com/cran/LCPA
RemoteRef: HEAD
RemoteSha: 44e94bb23147684ce84100d28fa4e42d7c295dc1