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: 1.6
Depends: R (≥ 3.2.0), rcdd (≥ 1.2)
Imports: boot, stats
Published: 2020-05-01
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_1.6.tar.gz
Windows binaries: r-devel: polyapost_1.6.zip, r-release: polyapost_1.6.zip, r-oldrel: polyapost_1.6.zip
macOS binaries: r-release: polyapost_1.6.tgz, r-oldrel: polyapost_1.6.tgz
Old sources: polyapost archive


Please use the canonical form https://CRAN.R-project.org/package=polyapost to link to this page.