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:Glen Meeden [aut, cre], Radu Lazar [aut], Charles J. Geyer [aut]

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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

2.20 score 16 scripts 314 downloads 6 exports 2 dependencies

Last updated 3 months agofrom:942cd88abb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64OKNov 25 2024

Exports:constrppmnconstrppprobfeasiblehitrunpolyapwtpolyap

Dependencies:bootrcdd

Polyapost Package Tutorial

Rendered frompp1.Rnwusingutils::Sweaveon Nov 25 2024.

Last update: 2020-05-01
Started: 2014-03-24