Bayesian Estimation of Probit Unfolding Models for Binary Preference Data
Overview
Bayesian estimation and analysis methods for Probit Unfolding Models (PUMs), a novel class of scaling models designed for binary preference data. These models allow for both monotonic and non-monotonic response functions. The package supports Bayesian inference for both static and dynamic PUMs using Markov chain Monte Carlo (MCMC) algorithms with minimal or no tuning. Key functionalities include posterior sampling, hyperparameter selection, data preprocessing, model fit evaluation, and visualization. The methods are particularly suited to analyzing voting data, such as from the U.S. Congress or Supreme Court, but can also be applied in other contexts where non-monotonic responses are expected. For methodological details, see Shi et al. (2025) doi:10.48550/arXiv.2504.00423.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-22
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- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 13
- Examples that run
- 54%7 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Checks run against github.com/skylarshihub/pumbayes on 2026-10-21.
GitHub Pages site last deployed 2026-02-09
Dependencies
Installing pumBayes adds 5 packages (5 with compiled code, 3.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, mvtnorm 1.0 MB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2026-02-09
- 1.0.2Latest
- archivedRemoved from CRAN2026-01-25issues were not corrected in time gcc 14 warns, also C++20 issues
- 1.0.12025-10-23 · diff ↗
- 1.0.02025-05-30
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-30
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 79 KB / 2 files
- Download size
- 119 KB
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