Hi,
I'm having issues with what I believe is a bug in the MCMCpack's
MCMCmetrop1R function. I have code that basically looks like this:
posterior.sampler <- function(data, prior.mu){
log.posterior <- function(theta) log.likelihood(data, theta) +
log.prior(prior.mu, theta)
post.samples <- MC
Hi,
I have a data set that consists of about 2 million observations and several
high dimensional fixed effects (2 factors at around 1000 levels each, and
others with a few hundred levels). I'm looking to run linear and logit
regressions. I've tried packages such as filehash and biglm to store som
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