A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, postfit 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) <doi:10.2307/2347760>.
Package details 


Author  Frank Harrell [aut, cre] (<https://orcid.org/0000000282715493>), Ben Goodrich [ctb] (contributed Stan code), Ben Bolker [ctb] (wrote original code that is folded into the pdensityContour function), Doug Bates [ctb] (write original code for highest posterior density interval that is folded into the HPDint function) 
Maintainer  Frank Harrell <fh@fharrell.com> 
License  GPL (>= 3) 
Version  0.0.2 
URL  https://hbiostat.org/R/rmsb/ 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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