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
DOI: 10.32614/CRAN.package.polyapost
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


Reference manual: polyapost.pdf
Vignettes: Polyapost Package Tutorial


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


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