Hi,
I've been testing some models with the MCMCpack library.
I can run the process and get a nice model "object". I can easily see
the summary and even plot it.
I can't seem to figure out how to:
1) Access the final coefficients in the model
2) Turn the coefficients into a model so I can then run predictions
using them.
A summary command will SHOW Me the coefficients, but I can't run a
"predict" with them. Can someone suggest how to pull them out and
format them so that I can run some predictions to test the quality. I
thought something like "as.model" would be there, but isn't.
For example.
foo <- MCMClogit(label ~ x1 + x2)
summary(foo)
plot(foo)
foo has all the info. How do I pull out the coefficients and format
them into a "standard" logit model??
Thanks!
-N
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