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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 |
| 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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