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The sampl.mcmc function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.3.0) |
| Imports: | lpSolve, stats |
| Published: | 2024-01-31 |
| DOI: | 10.32614/CRAN.package.KnapsackSampling |
| Author: | Chin Soon Lim [aut] |
| Maintainer: | Chin Soon Lim <chinsoon12 at hotmail.com> |
| BugReports: | https://github.com/chinsoon12/KnapsackSampling |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| URL: | https://github.com/chinsoon12/KnapsackSampling |
| NeedsCompilation: | no |
| CRAN checks: | KnapsackSampling results |
| Reference manual: | KnapsackSampling.pdf |
| Package source: | KnapsackSampling_0.1.1.tar.gz |
| Windows binaries: | r-devel: KnapsackSampling_0.1.1.zip, r-release: KnapsackSampling_0.1.1.zip, r-oldrel: KnapsackSampling_0.1.1.zip |
| macOS binaries: | r-release (arm64): KnapsackSampling_0.1.1.tgz, r-oldrel (arm64): KnapsackSampling_0.1.1.tgz, r-release (x86_64): KnapsackSampling_0.1.1.tgz, r-oldrel (x86_64): KnapsackSampling_0.1.1.tgz |
| Old sources: | KnapsackSampling archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.