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rmsb  

Bayesian Regression Modeling Strategies
View on CRAN: Click here


Download and install rmsb package within the R console
Install from CRAN:
install.packages("rmsb")

Install from Github:
library("remotes")
install_github("cran/rmsb")

Install by package version:
library("remotes")
install_version("rmsb", "1.1-2")



Attach the package and use:
library("rmsb")
Maintained by
Frank Harrell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-03
Latest Update: 2025-04-13
Description:
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) .
How to cite:
Frank Harrell (2020). rmsb: Bayesian Regression Modeling Strategies. R package version 1.1-2, https://cran.r-project.org/web/packages/rmsb. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:52), 0.0.1 (2020-08-03 12:20), 0.0.2 (2021-02-28 00:50), 0.1.0 (2022-04-12 18:00), 1.0-0 (2023-09-26 15:10), 1.1-0 (2024-03-12 16:50), 1.1-1 (2024-07-08 13:10)
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Complete documentation for rmsb
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