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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rmsb" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'rmsb: Bayesian Regression Modeling Strategies'
version: 1.1-3
doi: 10.32614/CRAN.package.rmsb
abstract: 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>.
authors:
- family-names: Harrell
  given-names: Frank
  email: fh@fharrell.com
  orcid: https://orcid.org/0000-0002-8271-5493
repository: https://harrelfe.r-universe.dev
commit: 4943e98888d296bbe37c2a016f922d1705de48af
url: https://hbiostat.org/R/rmsb/
date-released: '2026-06-18'
contact:
- family-names: Harrell
  given-names: Frank
  email: fh@fharrell.com
  orcid: https://orcid.org/0000-0002-8271-5493