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.

Documentation

Manual: hitandrun.pdf
Vignette: None available.

Maintainer: Gert van Valkenhoef <gert at gertvv.nl>

Author(s): Gert van Valkenhoef, Tommi Tervonen

Install package and any missing dependencies by running this line in your R console:

install.packages("hitandrun")

Depends
Imports rcdd(>=1.1), stats
Suggests testthat(>=0.8)
Enhances
Linking to
Reverse
depends
rorutadis
Reverse
imports
walkr
Reverse
suggests
smaa
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enhances
Reverse
linking to

Package hitandrun
Materials
URL http://github.com/gertvv/hitandrun
Task Views
Version 0.5-3
Published 2016-12-23
License GPL-3
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks hitandrun check results
Package source hitandrun_0.5-3.tar.gz