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.

Version: 0.5-5
Imports: rcdd (≥ 1.1), stats
Suggests: testthat (≥ 0.8)
Published: 2019-01-08
Author: Gert van Valkenhoef, Tommi Tervonen
Maintainer: Gert van Valkenhoef <gert at gertvv.nl>
License: GPL-3
URL: http://github.com/gertvv/hitandrun
NeedsCompilation: yes
Materials: NEWS
CRAN checks: hitandrun results

Documentation:

Reference manual: hitandrun.pdf

Downloads:

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

Reverse dependencies:

Reverse depends: rorutadis
Reverse imports: hypervolume
Reverse suggests: smaa

Linking:

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