polyapost: Simulating from the Polya Posterior

Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).

Version:	1.7
Depends:	R (≥ 3.6.2), rcdd (≥ 1.2)
Imports:	boot, stats
Published:	2021-10-07
Author:	Glen Meeden and Radu Lazar and Charles J. Geyer
Maintainer:	Glen Meeden <glen at stat.umn.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	polyapost results

Documentation:

Reference manual:	polyapost.pdf
Vignettes:	Polyapost Package Tutorial

Downloads:

Package source:	polyapost_1.7.tar.gz
Windows binaries:	r-devel: polyapost_1.7.zip, r-release: polyapost_1.7.zip, r-oldrel: polyapost_1.7.zip
macOS binaries:	r-release (arm64): polyapost_1.7.tgz, r-oldrel (arm64): polyapost_1.7.tgz, r-release (x86_64): polyapost_1.7.tgz, r-oldrel (x86_64): polyapost_1.7.tgz
Old sources:	polyapost archive

Linking:

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