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KnapsackSampling  

Generate Feasible Samples of a Knapsack Problem
View on CRAN: Click here


Download and install KnapsackSampling package within the R console
Install from CRAN:
install.packages("KnapsackSampling")

Install from Github:
library("remotes")
install_github("cran/KnapsackSampling")

Install by package version:
library("remotes")
install_version("KnapsackSampling", "0.1.1")



Attach the package and use:
library("KnapsackSampling")
Maintained by
Chin Soon Lim
[Scholar Profile | Author Map]
First Published: 2016-10-16
Latest Update: 2024-01-31
Description:
The sampl.mcmc function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.
How to cite:
Chin Soon Lim (2016). KnapsackSampling: Generate Feasible Samples of a Knapsack Problem. R package version 0.1.1, https://cran.r-project.org/web/packages/KnapsackSampling. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2016-10-16 15:13)
Other packages that cited KnapsackSampling R package
View KnapsackSampling citation profile
Other R packages that KnapsackSampling depends, imports, suggests or enhances
Complete documentation for KnapsackSampling
Functions, R codes and Examples using the KnapsackSampling R package
Some associated functions: flip01 . grapes-sub-sub-grapes . initState . sampl.mcmc . unlist.constr . 
Some associated R codes: knapsackSampling.R .  Full KnapsackSampling package functions and examples
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