Package: robcat 0.2

robcat: Robust Categorical Data Analysis

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.

Authors:Max Welz [aut, cre], Andreas Alfons [aut], Patrick Mair [aut]

robcat_0.2.tar.gz
robcat_0.2.zip(r-4.7-x86_64)robcat_0.2.zip(r-4.7-arm64)robcat_0.2.zip(r-4.6-x86_64)robcat_0.2.zip(r-4.6-arm64)robcat_0.2.zip(r-4.5-x86_64)
robcat_0.2.tgz(r-4.6-x86_64)robcat_0.2.tgz(r-4.6-arm64)robcat_0.2.tgz(r-4.5-x86_64)robcat_0.2.tgz(r-4.5-arm64)
robcat_0.2.tar.gz(r-4.7-arm64)robcat_0.2.tar.gz(r-4.7-x86_64)robcat_0.2.tar.gz(r-4.6-arm64)robcat_0.2.tar.gz(r-4.6-x86_64)
robcat_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
robcat/json (API)

# Install 'robcat' in R:
install.packages('robcat', repos = c('https://mwelz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mwelz/robcat/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cppquestionnairerobust-statisticscpp

3.30 score 2 stars 1 scripts 243 downloads 9 exports 26 dependencies

Last updated from:77ee32cc47. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK159
source / vignettesOK223
linux-release-arm64OK130
linux-release-x86_64OK157
macos-release-arm64OK155
macos-release-x86_64OK336
macos-oldrel-arm64OK135
macos-oldrel-x86_64OK407
windows-devel-arm64OK395
windows-devel-x86_64OK192
windows-release-arm64OK395
windows-release-x86_64OK136
windows-oldrel-x86_64OK137
wasm-releaseOK91

Exports:initialize_parampolycorpolycor_mlepolycormatpolycormat_mlepolyserialpolyserial_efficiencypolyserial_initialize_parampolyserial_mle

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMatrixmvtnormnumDerivpracmaR6RColorBrewerRcpprlangS7scalesstringistringrvctrsviridisLitewithr