rmsb-package {rmsb} | R Documentation |
The 'rmsb' package.
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/examples/blrm/blrm.html for a vignette with many examples of using the
blrm
function