Bayesian Regression Modeling Strategies
Overview
A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) https://www.jstor.org/stable/2347760.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-29
- ERROR12 OK, 1 ERROR2026-07-27
- OK13 OK2026-06-09
Show 5 earlier changesHide 5 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 28includes a package overview page
- Examples that run
- 8%1 run in a plain check · 11 never run
- Exported functions with examples
- 40%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 4%
Downloads
Dependencies
Installing rmsb adds 87 packages (44 with compiled code, 94 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, TH.data 8.2 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.1-2Latest
- RR 4.5.0 released · 2025-04-11
- 1.1-12024-07-08 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.1-02024-03-12 · diff ↗
- 1.0-0
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.02022-04-12 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.0.2
- 0.0.12020-08-03
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-08-03
- Total releases
- 7 / 6 yrs
- License
- GPL (>= 3) OSI
- Additional repositories
- mc-stan.org
- Minimum R
- ≥ 3.4.0
- Download size
- 110 KB
Cite
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Run in R for the authors' preferred citation:
citation("rmsb")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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