clmstan: Cumulative Link Models with 'CmdStanR'

Fits cumulative link models (CLMs) for ordinal categorical data using 'CmdStanR'. Supports various link functions including logit, probit, cloglog, loglog, cauchit, and flexible parametric links such as Generalized Extreme Value (GEV), Asymmetric Exponential Power (AEP), and Symmetric Power. Models are pre-compiled using the 'instantiate' package for fast execution without runtime compilation. Methods are described in Agresti (2010, ISBN:978-0-470-08289-8), Wang and Dey (2011) <doi:10.1007/s10651-010-0154-8>, and Naranjo, Perez, and Martin (2015) <doi:10.1007/s11222-014-9449-1>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: instantiate, posterior, bayesplot, loo, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, ordinal, cmdstanr (≥ 0.9.0)
Published: 2026-02-10
DOI: 10.32614/CRAN.package.clmstan (may not be active yet)
Author: Tomotaka Momozaki [aut, cre]
Maintainer: Tomotaka Momozaki <momozaki.stat at gmail.com>
BugReports: https://github.com/t-momozaki/clmstan/issues
License: MIT + file LICENSE
URL: https://t-momozaki.github.io/clmstan/, https://github.com/t-momozaki/clmstan
NeedsCompilation: yes
SystemRequirements: CmdStan (https://mc-stan.org/users/interfaces/cmdstan)
Additional_repositories: https://stan-dev.r-universe.dev
Materials: README, NEWS
CRAN checks: clmstan results

Documentation:

Reference manual: clmstan.html , clmstan.pdf
Vignettes: Getting Started with clmstan (source, R code)

Downloads:

Package source: clmstan_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): clmstan_0.1.0.tgz, r-oldrel (arm64): clmstan_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

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