CLCM - Estimate Confirmatory Latent Class Models
Estimate confirmatory latent class models for a variety of
item response types that are encountered in the clinical field.
One or two timepoints are supported. Latent regression
estimation can be performed, allowing for comparisons of
longitudinal latent class assignments (e.g., treatment
success/failure) across observed groups (e.g., treatment arms
in clinical trials). Fit statistics C2 (a limited-information
goodness-of-fit statistic), Akaike Information Criterion (AIC),
and Bayesian Information Criterion (BIC) are available as well.
Methods are described in Iaconangelo (2026)
<doi:10.5281/zenodo.22663151>.
