DESCRIPTION

Package: dgt
Title: Distributional Generalizability Theory
Version: 0.5.0
Authors@R: 
    person("Ruwan", "Karunanayaka", email = "ruwan.karunanayaka@ufv.ca", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0008-2459-1569"))
Description: Extends classical Generalizability Theory to non-Gaussian 
    measurements via distributional response-scale ICCs, information-theoretic
    reliability, and hurdle model decompositions, including hurdle count
    families (hurdle Poisson and negative binomial) evaluated at a reference
    exposure. All quantities are computed
    from the posterior of brms models. Implements the framework described in
    "Distributional Generalizability Theory: Reliability for Non-Gaussian
    Measurements."
License: MIT + file LICENSE
URL: https://github.com/rckaruna/dgt
BugReports: https://github.com/rckaruna/dgt/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Depends: R (>= 4.1.0)
Imports:
    brms (>= 2.19.0),
    posterior (>= 1.4.0),
    rlang,
    stats,
    ggplot2
Suggests:
    testthat (>= 3.0.0),
    mvtnorm,
    knitr,
    rmarkdown,
    LNIRT,
    dplyr,
    tidyr
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0