Package: CLCM
Title: Estimate Confirmatory Latent Class Models
Version: 0.1.1
Authors@R: 
    person(given = "Charlie",
           family = "Iaconangelo",
           role = c("aut", "cre"),
           email = "charles.iaconangelo@gmail.com")
Description: 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>.
License: GPL (>= 3)
URL: https://github.com/CJangelo/CLCM, https://cjangelo.github.io/CLCM/
BugReports: https://github.com/CJangelo/CLCM/issues
Encoding: UTF-8
Imports: Matrix, numDeriv, stats, utils
Suggests: ggplot2, knitr, nnet, rmarkdown, scales
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-09-12 00:53:40 UTC; charl
Author: Charlie Iaconangelo [aut, cre]
Maintainer: Charlie Iaconangelo <charles.iaconangelo@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-21 22:50:11 UTC
Built: R 4.5.2; ; 2026-09-21 23:22:51 UTC; unix
