boot, tcltk, plotly (>= 4.5.6), knitr, mice, rmsb
https://hbiostat.org/R/rms, https://github.com/harrelfe/rms,
http://hbiostat.org/doc/rms,
https://www.nicholas-ollberding.com/post/an-introduction-to-the-harrell-verse-predictive-modeling-using-the-hmisc-and-rms-packages,
https://thomaselove.github.io/432-notes/linear-regression-and-the-smartcle1-data.html

boot, tcltk, plotly (>= 4.5.6), knitr, mice, rmsb, nnet, VGAM

Root-mean-square goodness-of-fit test for simple null hypothesis
This package can be used to test any simple null
hypothesis using the root-mean-square goodness of fit test.
Monte Carlo estimation is used to calculate the associated
P-value.

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"))
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) <doi:10.2307/2347760>.
methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
2.18.1), rstantools (>= 2.1.1), Hmisc (>= 4.3-0), survival (>=
3.1-12), ggplot2, MASS, cluster, digest, knitr, loo
Frank Harrell [aut, cre] (<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)