Package: robcat
Type: Package
Title: Robust Categorical Data Analysis
Version: 0.2
Date: 2026-02-10
Authors@R: 
    c(person(given = "Max",
           family = "Welz",
           role = c("aut", "cre"),
           email = "max.welz@uzh.ch",
           comment = c(ORCID = "0000-0003-2945-1860")),
      person(given = "Andreas",
             family = "Alfons",
             role = "aut",
             email = "alfons@ese.eur.nl",
             comment = c(ORCID = "0000-0002-2513-3788")),
      person(given = "Patrick",
             family = "Mair",
             role = "aut",
             email = "mair@fas.harvard.edu",
             comment = c(ORCID = "0000-0003-0100-6511"))
             )
Maintainer: Max Welz <max.welz@uzh.ch>
Description: Robust categorical data analysis based on the theory of
        C-estimation developed in Welz (2024)
        <doi:10.48550/arXiv.2403.11954>. For now, the package only
        implements robust estimation of polychoric correlation as
        proposed in Welz, Mair and Alfons (2026)
        <doi:10.1017/psy.2025.10066> and robust estimation of
        polyserial correlation (Welz, 2026
        <doi:10.1017/psy.2026.10091>) with methods for printing and
        plotting. We will implement further models in future releases.
        In addition, the package is still experimental, so input
        arguments and class structure may change in future releases.
License: GPL (>= 2)
Encoding: UTF-8
Depends: ggplot2
Imports: Rcpp (>= 1.0.10), stats, mvtnorm, stringr, parallel, Matrix,
        numDeriv, pracma, utils
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-10-08 08:38:49 UTC; root
Config/pak/sysreqs: libicu-dev
Repository: https://mwelz.r-universe.dev
Date/Publication: 2026-02-10 10:53:08 UTC
RemoteUrl: https://github.com/mwelz/robcat
RemoteRef: HEAD
RemoteSha: 77ee32cc47dfc94a7d894b9d21065d6c690d0284
Author: Max Welz [aut, cre] (ORCID: <https://orcid.org/0000-0003-2945-1860>),
  Andreas Alfons [aut] (ORCID: <https://orcid.org/0000-0002-2513-3788>),
  Patrick Mair [aut] (ORCID: <https://orcid.org/0000-0003-0100-6511>)