Package: hitandrun 0.5-6
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:
hitandrun_0.5-6.tar.gz
hitandrun_0.5-6.tar.gz(r-4.5-noble)hitandrun_0.5-6.tar.gz(r-4.4-noble)
hitandrun_0.5-6.tgz(r-4.4-emscripten)hitandrun_0.5-6.tgz(r-4.3-emscripten)
hitandrun.pdf |hitandrun.html✨
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
Last updated 3 years agofrom:f999355267. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux-x86_64 | OK | Nov 25 2024 |
Exports:bbRejectcreateBoundBoxcreateSeedPointcreateTransformeliminateRedundantexactRatioConstraintfindExtremePointsfindFacefindInteriorPointfindVerticesharhar.inithar.runhitandrunhypersphere.samplelowerBoundConstraintlowerRatioConstraintmergeConstraintsordinalConstraintsabsab.initsab.runshakeandbakesimplex.createConstraintssimplex.createTransformsimplex.samplesimplexConstraintssolution.basistransformConstraintsupperBoundConstraintupperRatioConstraint
Dependencies:rcdd