Estimating multinomial logistics regression using mlogit.bayes:
Checking for convergence before summarizing the estimates:
Setting values for the explanatory variables to their sample averages:
Simulating quantities of interest from the posterior distribution
given x.out.
Simulating First Differences
Estimating the first difference (and risk ratio) in the probabilities of
voting different candidates when pristr (the strength of the
PRI) is set to be weak (equal to 1) versus strong (equal to 3)
while all the other variables held at their default values.