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rmsb

1.1-2

Bayesian Regression Modeling Strategies

1packages depend
23.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Frank HarrellFirst published 2020-08-037 releasesCRAN page ↗

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

CRAN checks
13OK
Slowest check: 14.3 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 5 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
8%
Documented parameters
99%
Return-value docs
100%
References docs
4%

Downloads

23.8K
CRAN downloads in the past year
Rank #2,602 · ~65/day · ~2K/mo
Daily download trend is not available in this view yet.
2K30 days
7.1K90 days
23.8K1 year
Compare downloads with other packages →
Also on388 r2u

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.4.0rms
Imports (11)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (3)
Contributor
Contributor
Contributor
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1-2Latest
    2025-04-13 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1-1
    2024-07-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1-0
    2024-03-12 · diff ↗
  • 1.0-0
    2023-09-26 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    2022-04-12 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.2
    2021-02-28 · diff ↗
  • 0.0.1
    2020-08-03
  • R
    R 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
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rmsb")
Harrell, F., Bates, D., Bolker, B., & Goodrich, B. (2025). rmsb: Bayesian Regression Modeling Strategies (Version 1.1-2) [Computer software]. https://doi.org/10.32614/CRAN.package.rmsb

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rmsb version 1.1-2 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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