hitandrun: "Hit and Run" and "Shake and Bake" for Sampling Uniformly from Convex Shapes

The "Hit and Run" Markov Chain Monte Carlo method for sampling uniformly from convex shapes defined by linear constraints, and the "Shake and Bake" method for sampling from the boundary of such shapes. Includes specialized functions for sampling normalized weights with arbitrary linear constraints. Tervonen, T., van Valkenhoef, G., Basturk, N., and Postmus, D. (2012) <doi:10.1016/j.ejor.2012.08.026>. van Valkenhoef, G., Tervonen, T., and Postmus, D. (2014) <doi:10.1016/j.ejor.2014.06.036>.

Version: 0.5-6
Imports: rcdd (≥ 1.1), stats
Suggests: testthat (≥ 0.8)
Published: 2022-05-27
DOI: 10.32614/CRAN.package.hitandrun
Author: Gert van Valkenhoef [aut, cre, cph], Tommi Tervonen [aut]
Maintainer: Gert van Valkenhoef <gert at gertvv.nl>
License: GPL-3
URL: https://github.com/gertvv/hitandrun
NeedsCompilation: yes
Materials: NEWS
CRAN checks: hitandrun results


Reference manual: hitandrun.pdf


Package source: hitandrun_0.5-6.tar.gz
Windows binaries: r-devel: hitandrun_0.5-6.zip, r-release: hitandrun_0.5-6.zip, r-oldrel: hitandrun_0.5-6.zip
macOS binaries: r-release (arm64): hitandrun_0.5-6.tgz, r-oldrel (arm64): hitandrun_0.5-6.tgz, r-release (x86_64): hitandrun_0.5-6.tgz, r-oldrel (x86_64): hitandrun_0.5-6.tgz
Old sources: hitandrun archive

Reverse dependencies:

Reverse imports: brisk, hypervolume
Reverse suggests: smaa


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