Package: rmsb
Title: Bayesian Regression Modeling Strategies
Version: 1.1-3
Date: 2026-06-18
Authors@R: 
    c(person(given = "Frank",
           family = "Harrell",
           role = c("aut", "cre"),
           email = "fh@fharrell.com",
           comment = c(ORCID = "0000-0002-8271-5493")),
			person(given = "Ben",
			       family = "Goodrich",
						 role = "ctb",
						 email = "benjamin.goodrich@columbia.edu",
						 comment = "contributed Stan code"),
			person(given = "Ben",
			       family = "Bolker",
						 role = "ctb",
						 comment = "wrote original code that is folded into the pdensityContour function"),
			person(given = "Doug",
			       family = "Bates",
						 role = "ctb",
						 comment = "write original code for highest posterior density interval that is folded into the HPDint function"))
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)
        <https://www.jstor.org/stable/2347760>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://hbiostat.org/R/rmsb/
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Biarch: true
Depends: R (>= 3.4.0), rms (>= 8.0-0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.26.23), Hmisc (>=
        5.2-3), survival (>= 3.1-12), ggplot2, MASS, cluster, digest,
        knitr, loo
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools,
        StanHeaders (>= 2.18.0)
Suggests: cmdstanr, bayesplot, mice
Additional_repositories: https://mc-stan.org/r-packages/
SystemRequirements: GNU make
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://harrelfe.r-universe.dev
Date/Publication: 2026-06-18 23:07:08 UTC
RemoteUrl: https://github.com/harrelfe/rmsb
RemoteRef: HEAD
RemoteSha: 4943e98888d296bbe37c2a016f922d1705de48af
NeedsCompilation: yes
Packaged: 2026-07-05 13:42:16 UTC; root
Author: Frank Harrell [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8271-5493>),
  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>