Package: KnapsackSampling 0.1.1

KnapsackSampling: Generate Feasible Samples of a Knapsack Problem

The sampl.mcmc function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.

Authors:Chin Soon Lim [aut]

KnapsackSampling_0.1.1.tar.gz
KnapsackSampling_0.1.1.zip(r-4.7-any)KnapsackSampling_0.1.1.zip(r-4.6-any)KnapsackSampling_0.1.1.zip(r-4.5-any)
KnapsackSampling_0.1.1.tgz(r-4.6-any)KnapsackSampling_0.1.1.tgz(r-4.5-any)
KnapsackSampling_0.1.1.tar.gz(r-4.7-any)KnapsackSampling_0.1.1.tar.gz(r-4.6-any)
KnapsackSampling_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
KnapsackSampling/json (API)

# Install 'KnapsackSampling' in R:
install.packages('KnapsackSampling', repos = c('https://chinsoon12.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chinsoon12/knapsacksampling/issues

On CRAN:

Conda:

2.00 score 1 stars 2 scripts 230 downloads 2 exports 1 dependencies

Last updated from:269787736c. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE91
source / vignettesOK150
linux-releaseNOTE84
macos-releaseNOTE152
macos-oldrelNOTE176
windows-develNOTE57
windows-releaseNOTE55
windows-oldrelNOTE53
wasm-releaseOK70

Exports:initStatesampl.mcmc

Dependencies:lpSolve