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tseLCA  

Three-Step Estimation for Latent Class Analysis
View on CRAN: Click here


Download and install tseLCA package within the R console
Install from CRAN:
install.packages("tseLCA")

Install from Github:
library("remotes")
install_github("cran/tseLCA")

Install by package version:
library("remotes")
install_version("tseLCA", "1.1.1")



Attach the package and use:
library("tseLCA")
Maintained by
Sam Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-11
Latest Update: 2026-07-11
Description:
Implements BCH (Bolck-Croon-Hagenaars) <doi:10.1093/pan/mph001> and ML (Vermunt's maximum likelihood) <doi:10.1093/pan/mpq025> approaches for three-step estimation of latent class models with covariates and distal outcomes, following Bakk, Tekle & Vermunt (2013) <doi:10.1177/0081175012470644>, Bakk, Oberski & Vermunt (2014) <https://www.jstor.org/stable/24573086>, and Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>. Built on 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935> for Step-1 measurement model estimation, this package extends it with support for Gaussian, Poisson, and binomial distal outcome families. Unlike 'poLCA', which relies on one-step estimation and cannot accommodate a measurement model from a different sample, this package uses a stepwise approach to prevent the structural model from influencing latent class formation. Implements correct sandwich variance estimation that propagates measurement uncertainty from the first-step through classification-error correction in the final step (Bakk, Oberski & Vermunt, 2014). Supports polytomous items and missing data in the measurement model with full information maximum likelihood. A data-generating process replicating the Bakk & Kuha (2018) simulation study is included.
How to cite:
Sam Lee (2026). tseLCA: Three-Step Estimation for Latent Class Analysis. R package version 1.1.1, https://cran.r-project.org/web/packages/tseLCA. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-10-01 15:20), 1.0.2 (2026-07-11 10:40), 1.1.0 (2026-09-20 04:30), 1.1.1 (2026-09-23 12:20)
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Functions, R codes and Examples using the tseLCA R package
Full tseLCA package functions and examples
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