Package: tseLCA Type: Package Title: Three-Step Estimation for Latent Class Analysis Version: 2.1.1 Authors@R: c( person("Sam", "Lee", email = "samlee@arizona.edu", role = c("aut", "cre", "cph"), comment = c(ORCID = "0009-0007-2977-6661")), person("Jay", "Goodliffe", email = "goodliffe@byu.edu", role = c("aut", "cph"), comment = c(ORCID = "0000-0001-8272-7235") ) ) Description: Bias-adjusted three-step estimation of latent class models with covariates and distal outcomes. The latent class measurement model is estimated first, with 'multilevLCA' (Lyrvall et al., 2025) , and held fixed; observations are then classified; and the classes are related to covariates and distal outcomes with the maximum likelihood correction of Vermunt (2010) and Bakk, Tekle and Vermunt (2013) , or the correction of Bolck, Croon and Hagenaars (2004) . Standard errors account for the uncertainty of the measurement model (Bakk, Oberski and Vermunt, 2014) . Includes class enumeration, modal and proportional class assignment, covariate formulas, Gaussian, Poisson, binomial, and multinomial distal outcomes, the two-step estimator of Bakk and Kuha (2018) , measurement models applied to new samples, and full-information maximum likelihood for missing indicators, standard methods for fitted models, and a data-generating process replicating the simulation design of Bakk and Kuha (2018). License: GPL (>= 3) Encoding: UTF-8 Language: en-US Depends: R (>= 4.1.0) Imports: cli, Formula, multilevLCA Suggests: nnet, poLCA, testthat (>= 3.0.0), parallel, knitr, rmarkdown, spelling Config/testthat/edition: 3 Config/roxygen2/version: 8.0.0 URL: https://samleebyu.github.io/tseLCA/, https://github.com/SamLeeBYU/tseLCA BugReports: https://github.com/SamLeeBYU/tseLCA/issues VignetteBuilder: knitr, rmarkdown NeedsCompilation: no Packaged: 2026-11-01 03:42:34 UTC; root Author: Sam Lee [aut, cre, cph] (ORCID: ), Jay Goodliffe [aut, cph] (ORCID: ) Maintainer: Sam Lee Repository: https://cran.r-universe.dev Date/Publication: 2026-10-31 21:30:02 UTC RemoteUrl: https://github.com/cran/tseLCA RemoteRef: HEAD RemoteSha: 7c6c0f83b69018b00eb589ca54bf1695efa4ccb3