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

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hitandrun/json (API)
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Bug tracker:https://github.com/gertvv/hitandrun/issues

On CRAN:

31 exports 16 stars 2.96 score 1 dependencies 8 dependents 1 mentions 119 scripts 1.5k downloads

Last updated 2 years agofrom:e19dfd7cce. Checks:OK: 9. Indexed: yes.

Exports:bbRejectcreateBoundBoxcreateSeedPointcreateTransformeliminateRedundantexactRatioConstraintfindExtremePointsfindFacefindInteriorPointfindVerticesharhar.inithar.runhitandrunhypersphere.samplelowerBoundConstraintlowerRatioConstraintmergeConstraintsordinalConstraintsabsab.initsab.runshakeandbakesimplex.createConstraintssimplex.createTransformsimplex.samplesimplexConstraintssolution.basistransformConstraintsupperBoundConstraintupperRatioConstraint

Dependencies:rcdd