Published March 20, 2017
| Version v1
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walkr: MCMC Sampling from Non-Negative Convex Polytopes
Description
Consider the intersection of two spaces: the complete solution space to Ax = b and the N-simplex. The intersection of these two spaces is a non-negative convex polytope. The package walkr samples from this intersection using two Monte-Carlo Markov Chain (MCMC) methods: hit-and-run and Dikin walk. walkr also provide tools to examine sample quality.
Files
walkr(VERSION 0.3.4, CRAN, FEB 24)-20170320T120457Z-001.zip
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(1.2 MB)
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