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.

Install the latest version of this package by entering the following in R:
install.packages("hitandrun")
AuthorGert van Valkenhoef, Tommi Tervonen
Date of publication2016-12-23 11:57:17
MaintainerGert van Valkenhoef <gert@gertvv.nl>
LicenseGPL-3
Version0.5-3
http://github.com/gertvv/hitandrun

View on CRAN

Functions

bbReject Man page
createBoundBox Man page
createSeedPoint Man page
createTransform Man page
eliminateRedundant Man page
exactRatioConstraint Man page
findExtremePoints Man page
findFace Man page
findInteriorPoint Man page
findVertices Man page
har Man page
harConstraints Man page
har.init Man page
har.run Man page
hitandrun Man page
hitandrun-package Man page
hypersphere.sample Man page
lowerBoundConstraint Man page
lowerRatioConstraint Man page
mergeConstraints Man page
ordinalConstraint Man page
sab Man page
sab.init Man page
sab.run Man page
shakeandbake Man page
simplexConstraints Man page
simplex.createConstraints Man page
simplex.createTransform Man page
simplex.sample Man page
solution.basis Man page
transformConstraints Man page
upperBoundConstraint Man page
upperRatioConstraint Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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