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: 2026-02-10 10:45:25 UTC; mwelz
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>)
Repository: CRAN
Date/Publication: 2026-02-10 11:50:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 10:07:21 UTC; unix
Archs: robcat.so.dSYM
