Description

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, 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).

References

Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org

See Also

• https://hbiostat.org/R/rmsb/ for the package's main web page

• https://hbiostat.org/R/rmsb/blrm.html for a vignette with many examples of using the blrm function