mvn.rw(rw.var) mvn.diag.rw(rw.sd) mvn.rw.adaptive(rw.sd, rw.var, scale.start = NA, scale.cooling = 0.999, shape.start = NA, target = 0.234, max.scaling = 50)
scale.start
, the scale of the proposal covariance matrix will be adjusted in an effort to match the target
acceptance ratio.
The parameters scale.cooling
and max.scaling
adjust the scale adaptation.
Beginning with iteration shape.start
, a scaled empirical covariance matrix will be used for the proposals.
proposal
argument of pmcmc
or abc
.
Given a parameter vector, each such function returns a single draw from the corresponding proposal distribution.
pmcmc
, abc