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.
| Version: | 0.5-5 |
| Imports: | rcdd (≥ 1.1), stats |
| Suggests: | testthat (≥ 0.8) |
| Published: | 2019-01-08 |
| Author: | Gert van Valkenhoef, Tommi Tervonen |
| Maintainer: | Gert van Valkenhoef <gert at gertvv.nl> |
| License: | GPL-3 |
| URL: | http://github.com/gertvv/hitandrun |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | hitandrun results |
| Reference manual: | hitandrun.pdf |
| Package source: | hitandrun_0.5-5.tar.gz |
| Windows binaries: | r-devel: hitandrun_0.5-5.zip, r-release: hitandrun_0.5-5.zip, r-oldrel: hitandrun_0.5-5.zip |
| macOS binaries: | r-release: hitandrun_0.5-5.tgz, r-oldrel: hitandrun_0.5-5.tgz |
| Old sources: | hitandrun archive |
| Reverse depends: | rorutadis |
| Reverse imports: | hypervolume |
| Reverse suggests: | smaa |
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