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:	0.5
Depends:	R (≥ 1.7.0)
Published:	2022-04-29
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

Documentation:

Reference manual:

HI.pdf

Downloads:

Package source:	HI_0.5.tar.gz
Windows binaries:	r-devel: HI_0.5.zip, r-release: HI_0.5.zip, r-oldrel: HI_0.5.zip
macOS binaries:	r-release (arm64): HI_0.5.tgz, r-oldrel (arm64): HI_0.5.tgz, r-release (x86_64): HI_0.5.tgz, r-oldrel (x86_64): HI_0.5.tgz
Old sources:	HI archive

Reverse dependencies:

Reverse depends:	ICBayes
Reverse imports:	BBRecapture, ExGaussEstim, MfUSampler, nlmm

Linking:

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