bug fix
add proposal.sd parameter
don't adapt if .start variables are 0
deal with target functions that just return samples from theta
change printout
documentation updates
remove time stuff, I don't think we'll need this
turn saving weights into an option -- coda/ggmcmc don't understand
them. We could rid of weights altogether, of course...
make burnAndThin work without weights
standard deviation vs variance
updated datasets
correct prior for SIR with reporting
remove save.weights
correct default proposal.sd
update start.adapt.*
always compute empirical covariance matrix
make default adapt.size.start NULL
make code more readable (arguably)
Merge branch mcmc_changes'

Conflicts:
	NAMESPACE