Package: polyapost 1.7-1

Glen Meeden
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).
Authors:
polyapost_1.7-1.tar.gz
polyapost_1.7-1.tar.gz(r-4.5-noble)polyapost_1.7-1.tar.gz(r-4.4-noble)
polyapost_1.7-1.tgz(r-4.4-emscripten)polyapost_1.7-1.tgz(r-4.3-emscripten)
polyapost.pdf |polyapost.html✨
polyapost/json (API)
# Install 'polyapost' in R: |
install.packages('polyapost', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:942cd88abb. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 25 2025 |
R-4.5-linux-x86_64 | OK | Mar 25 2025 |
R-4.4-linux-x86_64 | OK | Mar 25 2025 |
Citation
To cite package ‘polyapost’ in publications use:
Meeden G, Lazar R, Geyer CJ (2024). polyapost: Simulating from the Polya Posterior. R package version 1.7-1, https://CRAN.R-project.org/package=polyapost.
Corresponding BibTeX entry:
@Manual{, title = {polyapost: Simulating from the Polya Posterior}, author = {Glen Meeden and Radu Lazar and Charles J. Geyer}, year = {2024}, note = {R package version 1.7-1}, url = {https://CRAN.R-project.org/package=polyapost}, }