Skip to content

Bayesian Regression Modeling Strategies

0packages dependsuggested by 1
24.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 16.2 min · r-oldrel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 1.1-2
READMEYes · 0 wordsVignettesNoNEWSYes · 100% structuredCitation fileNoWebsiteYes
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

24.6K
CRAN downloads in the past year
Rank #2,650 · ~67/day · ~2K/mo
Daily download trend is not available in this view yet.
1.7K30 days
5.7K90 days
24.6K1 year
Compare downloads with other packages →
Also on359 r2u7 autocran

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

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.

Depends (2)
R >= 3.4.0rms
Imports (11)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (4)
Author, Maintainer since 0.0.1 (2020)
Contributor
write original code for highest posterior density interval that is folded into the HPDint function
Contributor
wrote original code that is folded into the pdensityContour function
Contributor
contributed Stan code
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1-2Latest
    record
    2025-04-13 · current release · diff ↗ ·
    removed 1 export
    Ocens
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1-1
    record
    2024-07-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1-0
    record
    2024-03-12 · diff ↗
  • 1.0-0
    record
    2023-09-26 · diff ↗ ·
    added 1 export
    cluster
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.0
    record
    2022-04-12 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.2
    record
    2021-02-28 · diff ↗ ·
    added 1 export
    stackMI
  • 0.0.1
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy