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.
| Version: | 0.1 |
| Depends: | mvtnorm |
| Published: | 2012-10-29 |
| Author: | Adrian Raftery, Le Bao |
| Maintainer: | Le Bao <lebao at uw.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.stat.washington.edu/research/reports/2009/tr560.pdf |
| NeedsCompilation: | no |
| CRAN checks: | IMIS results |
| Reference manual: | IMIS.pdf |
| Package source: | IMIS_0.1.tar.gz |
| Windows binaries: | r-devel: IMIS_0.1.zip, r-release: IMIS_0.1.zip, r-oldrel: IMIS_0.1.zip |
| macOS binaries: | r-release: IMIS_0.1.tgz, r-oldrel: IMIS_0.1.tgz |
| Old sources: | IMIS archive |
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