tseLCA: Three-Step Estimation for Latent Class Analysis

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) <doi:10.1080/00273171.2025.2473935>, 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) <doi:10.1093/pan/mpq025> and Bakk, Tekle and Vermunt (2013) <doi:10.1177/0081175012470644>, or the correction of Bolck, Croon and Hagenaars (2004) <doi:10.1093/pan/mph001>. Standard errors account for the uncertainty of the measurement model (Bakk, Oberski and Vermunt, 2014) <doi:10.1093/pan/mpu003>. 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) <doi:10.1007/s11336-017-9592-7>, 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).

Version:	2.0.0
Depends:	R (≥ 4.1.0)
Imports:	cli, Formula, multilevLCA
Suggests:	nnet, poLCA, testthat (≥ 3.0.0), parallel, knitr, rmarkdown, spelling
Published:	2026-10-01
DOI:	10.32614/CRAN.package.tseLCA
Author:	Sam Lee [aut, cre, cph], Jay Goodliffe [aut, cph]
Maintainer:	Sam Lee <samlee at arizona.edu>
BugReports:	https://github.com/SamLeeBYU/tseLCA/issues
License:	GPL (≥ 3)
URL:	https://samleebyu.github.io/tseLCA/, https://github.com/SamLeeBYU/tseLCA
NeedsCompilation:	no
Language:	en-US
Citation:	tseLCA citation info
Materials:	README, NEWS
CRAN checks:	tseLCA results

Documentation:

Reference manual:	tseLCA.html , tseLCA.pdf
Vignettes:	tseLCA Workflow (source, R code)

Downloads:

Package source:	tseLCA_2.0.0.tar.gz
Windows binaries:	r-devel: tseLCA_1.1.1.zip, r-release: tseLCA_1.1.1.zip, r-oldrel: tseLCA_2.0.0.zip
macOS binaries:	r-release (arm64): tseLCA_2.0.0.tgz, r-oldrel (arm64): tseLCA_2.0.0.tgz, r-release (x86_64): tseLCA_2.0.0.tgz, r-oldrel (x86_64): tseLCA_2.0.0.tgz
Old sources:	tseLCA archive

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