Dear All,
I have two questions regarding the use of the R2BayesX package for Bayesian
analysis. First, is it possible to generate predictions based on the fitted
model? According to Gelman and Hill (2007, pp. 361-363), there are at
least two ways to do this in BUGS: (1) generate additional data points with
the dependent variable coded as missing (and all the independent variables
fixed at desirable levels) and let BUGS fill in the values; (2) use R to
combine the estimated BUGS results and data value to get the new
predictions. Can these be done with R2BayesX? Can someone offer some
examples?
Second, I wonder whether R2BayesX can estimate grouped logistic regression
models. One example is the Surgical example in the BUGS example collection (
http://mathstat.helsinki.fi/openbugs/Examples/Surgical.html) where the
dependent variable consists (1) the number of deaths and (2) the number of
total patients.
Many thanks for the help.
Best,
Shige
Reference
Gelman, A., and J. Hill. 2007. *Data analysis using regression and
multilevel/hierarchical models*. Cambridge, England: Cambridge University
Press New York.
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