Regression Modeling Strategies Bayesian
The rmsb package is an appendage to the rms package that
implements Bayesian regression models whose fit objects can be processed
by rms functions such as
contrast, summary, Predict, nomogram,
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).
Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org
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