clmstan: Cumulative Link Models with 'CmdStanR'

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Authors: Tomotaka Momozaki
Cited by: 0
References: 2

Abstract

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) , and Naranjo, Perez, and Martin (2015) .

Fields of Study & Subjects

Statistical Methods and Bayesian Inference Data Analysis with R Statistical Distribution Estimation and Applications

Publication details

Publication date
10 February 2026
Language
EN
Document type
Dataset