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)