HI: Simulation from distributions supported by nested hyperplanes

Simulation from distributions supported by nested hyperplanes, using the algorithm described in Petris & Tardella, "A geometric approach to transdimensional Markov chain Monte Carlo", Canadian Journal of Statistics, v.31, n.4, (2003). Also random direction multivariate Adaptive Rejection Metropolis Sampling.

Version: 0.3
Depends: R (≥ 1.7.0)
Date: 2006-04-26
Author: Giovanni Petris and Luca Tardella; original C code for ARMS by Wally Gilks.
Maintainer: Giovanni Petris <GPetris at Uark.edu>
License: GPL version 2 or newer
In views: Bayesian
CRAN checks: HI results

Downloads:

Package source: HI_0.3.tar.gz
MacOS X binary: HI_0.3.tgz
Windows binary: HI_0.3.zip
Reference manual: HI.pdf
Old sources: HI archive