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
Roxygen: list(markdown = TRUE)
Imports: Matrix, numDeriv, stats, utils
Suggests: ggplot2, knitr, nnet, rmarkdown, scales
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
Repository: https://cjangelo.r-universe.dev
Date/Publication: 2026-09-12 00:51:10 UTC
RemoteUrl: https://github.com/cjangelo/clcm
RemoteRef: HEAD
RemoteSha: b6a7bf324ef9962498fc1b9aa3bfac0f83c0dd2f
NeedsCompilation: no
Packaged: 2026-09-22 09:59:05 UTC; root
Author: Charlie Iaconangelo [aut, cre]
Maintainer: Charlie Iaconangelo <charles.iaconangelo@gmail.com>