This package is considered a duplicate. The official version of this package is found at:https://t-momozaki.r-universe.dev/clmstan

Package: clmstan 0.1.2

Tomotaka Momozaki

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>.

Authors:Tomotaka Momozaki [aut, cre]

clmstan_0.1.2.tar.gz
clmstan_0.1.2.tar.gz(r-4.7-arm64)clmstan_0.1.2.tar.gz(r-4.7-x86_64)clmstan_0.1.2.tar.gz(r-4.6-arm64)clmstan_0.1.2.tar.gz(r-4.6-x86_64)
clmstan_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clmstan/json (API)

# Install 'clmstan' in R:

install.packages('clmstan', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/t-momozaki/clmstan/issues

Pkgdown/docs site:https://t-momozaki.github.io

On CRAN:

3.00 score 235 downloads 14 exports 49 dependencies

Last updated from:fc92797ecb. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	168
linux-devel-x86_64	OK	165
source / vignettes	OK	223
linux-release-arm64	OK	183
linux-release-x86_64	OK	168
wasm-release	OK	194

Exports:cauchy clm_prior clm_stan diagnostics extract_acf flat gamma is.clmstan normal posterior_predict.clmstan prior student_t supported_links supported_thresholds

Dependencies:abind backports bayesplot callr checkmate cli cpp11 distributional dplyr farver fs generics ggplot2 ggridges glue gtable instantiate isoband labeling lifecycle loo magrittr matrixStats numDeriv otel pillar pkgconfig plyr posterior processx ps purrr R6 RColorBrewer Rcpp reshape2 rlang S7 scales stringi stringr tensorA tibble tidyr tidyselect utf8 vctrs viridisLite withr

Getting Started with clmstan

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-02-10
Started: 2026-02-10

Help page	Topics
Combine Multiple Prior Specifications	c.clm_prior_spec
Cauchy Distribution for Prior Specification	cauchy
Prior Specification for clmstan	clm_prior
Fit a Cumulative Link Model using CmdStanR	clm_stan
clmstan S3 Class	clmstan-class
Extract coefficients from clmstan objects	coef.clmstan
MCMC Diagnostics for clmstan objects	diagnostics diagnostics.clmstan
Extract ACF values from clmstan object	extract_acf
Fitted values for clmstan objects	fitted.clmstan
Flat (Improper Uniform) Prior Distribution	flat
Gamma Distribution for Prior Specification	gamma
Check if object is clmstan	is.clmstan
Available Link Functions	link_functions
Leave-One-Out Cross-Validation for clmstan objects	loo.clmstan
Normal Distribution for Prior Specification	normal
Plot method for clmstan objects	plot.clmstan
Posterior predictive distribution for clmstan objects	posterior_predict.clmstan
Predict method for clmstan objects	predict.clmstan
Print method for clm_dist objects	print.clm_dist
Print method for clm_prior objects	print.clm_prior
Print method for clm_prior_list objects	print.clm_prior_list
Print method for clm_prior_spec objects	print.clm_prior_spec
Print method for clmstan objects	print.clmstan
Print method for summary.clmstan objects	print.summary.clmstan
Specify Prior Distributions	prior
Student-t Distribution for Prior Specification	student_t
Summary method for clmstan objects	summary.clmstan
Get supported link functions	supported_links
Get supported threshold structures	supported_thresholds
Widely Applicable Information Criterion for clmstan objects	waic.clmstan

Package: clmstan 0.1.2

clmstan: Cumulative Link Models with 'CmdStanR'

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)