[R] Bayesian logistic regression?

[Andrew Gelman]

Hi all.
Are there any R functions around that do quick logistic regression with 
a Gaussian prior distribution on the coefficients?  I just want 
posterior mode, not MCMC.  (I'm using it as a step within an iterative 
imputation algorithm.)  This isn't hard to do:  each step of a glm 
iteration simply linearizes the derivative of the log-likelihood, and, 
at this point, essentially no effort is required to augment the data to 
include the prior information.  I think this can be done by going inside 
the glm.fit() function--but if somebody's already done it, that would be 
a relief!
Thanks.
Andrew

-- 
Andrew Gelman
Professor, Department of Statistics
Professor, Department of Political Science
gelman at stat.columbia.edu
www.stat.columbia.edu/~gelman

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