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: 0.5-3
Imports: rcdd (≥ 1.1), stats
Suggests: testthat (≥ 0.8)
Published: 2016-12-23
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


Reference manual: hitandrun.pdf
Package source: hitandrun_0.5-3.tar.gz
Windows binaries: r-devel: hitandrun_0.5-3.zip, r-release: hitandrun_0.5-3.zip, r-oldrel: hitandrun_0.5-3.zip
OS X El Capitan binaries: r-release: hitandrun_0.5-3.tgz
OS X Mavericks binaries: r-oldrel: hitandrun_0.5-3.tgz
Old sources: hitandrun archive

Reverse dependencies:

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


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