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: 0.4
Depends: R (≥ 1.7.0)
Published: 2013-03-26
Author: Giovanni Petris and Luca Tardella; original C code for ARMS by Wally Gilks.
Maintainer: Giovanni Petris <GPetris at Uark.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
In views: Bayesian, Distributions
CRAN checks: HI results

Downloads:

Reference manual: HI.pdf
Package source: HI_0.4.tar.gz
MacOS X binary: HI_0.4.tgz
Windows binary: HI_0.4.zip
Old sources: HI archive

Reverse dependencies:

Reverse depends: BBRecapture
Reverse imports: mmeta, ReliabilityTheory