This package is considered a duplicate. The official version of this package is found at:https://gertvv.r-universe.dev/hitandrun

Package: hitandrun 0.5-6

Gert van Valkenhoef

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>.

Authors:Gert van Valkenhoef [aut, cre, cph], Tommi Tervonen [aut]

hitandrun_0.5-6.tar.gz
hitandrun_0.5-6.tar.gz(r-4.7-arm64)hitandrun_0.5-6.tar.gz(r-4.7-x86_64)hitandrun_0.5-6.tar.gz(r-4.6-arm64)hitandrun_0.5-6.tar.gz(r-4.6-x86_64)
hitandrun_0.5-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hitandrun/json (API)
NEWS

# Install 'hitandrun' in R:

install.packages('hitandrun', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gertvv/hitandrun/issues

Uses libs:

openblas– Optimized BLAS

On CRAN:

openblas

3.81 score 12 packages 123 scripts 1.4k downloads 1 mentions 31 exports 1 dependencies

Last updated from:f999355267. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	117
linux-devel-x86_64	OK	117
source / vignettes	OK	207
linux-release-arm64	OK	112
linux-release-x86_64	OK	121
wasm-release	OK	121

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

Dependencies:rcdd

Citation

Readme and manuals

Help Manual

Help page	Topics
"Hit and Run" sampling	hitandrun-package
Bounding box rejection sampler	bbReject
Calculate a bounding box	createBoundBox
Generate a seed point	createSeedPoint
Create transformation matrices	createTransform
Eliminate redundant linear constraints	eliminateRedundant
Find extreme points	findExtremePoints
Find the closest face (constraint) to an interior point of a polytope.	findFace
Find an interior point	findInteriorPoint
Find vertices of the polytope	findVertices
"Hit and Run" sampler	har
Constraint formulation utility functions	exactRatioConstraint harConstraints lowerBoundConstraint lowerRatioConstraint mergeConstraints ordinalConstraint simplexConstraints upperBoundConstraint upperRatioConstraint
"Hit and Run" sampler	har.init har.run hitandrun
Sample uniformly from an n-hypersphere	hypersphere.sample
"Shake and Bake" sampler	sab
"Shake and Bake" sampler	sab.init sab.run shakeandbake
Create constraints that define the (n-1)-simplex	simplex.createConstraints
Transform points on an (n-1)-simplex to n-dimensional space	simplex.createTransform
Sample uniformly from a simplex	simplex.sample
Calculate the basis for the solution space of a system of linear equations	solution.basis
Apply a transformation to a set of linear constraints.	transformConstraints

Package: hitandrun 0.5-6

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

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)