pumBayes

cranv1.0.2

Bayesian Estimation of Probit Unfolding Models for Binary Preference Data. 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

License GPL-3strong copyleft0 versions1 maintainers1 deps58 weekly dl
SkylarShiHub/pumBayes
47
/ 100
Health
safe to use

[email protected] is safe to use (health: 47/100)

Health breakdown0 – 100
20/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (1)
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/pumBayes

First published · 2026-02-09 08:28:40

Last updated · 2026-02-09T07:20:02+00:00

pumBayes — Health Score 47/100 | DepScope