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


Reference manual: HI.pdf


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, MfUSampler, nlmm, VARsignR


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