IMIS (0.0)

Increamental Mixture Importance Sampling.

IMIS algorithm draws samples from the posterior distribution. The user has to define the following R functions in advance: prior(x) calculates prior density of x, likelihood(x) calculates the likelihood of x, and sample.prior(n) draws n samples from the prior distribution.

Maintainer: Le Bao
Author(s): Adrian Raftery, Le Bao

License: GPL (>= 2)

Uses: mvtnorm

Released about 9 years ago.