Model and Solve Mixed Integer Linear Programs [R package ompr version 1.0.4]

Dirk Schumacher

ompr: Model and Solve Mixed Integer Linear Programs

Model mixed integer linear programs in an algebraic way directly in R. The model is solver-independent and thus offers the possibility to solve a model with different solvers. It currently only supports linear constraints and objective functions. See the 'ompr' website <https://dirkschumacher.github.io/ompr/> for more information, documentation and examples.

Version: 1.0.4

Depends: R (≥ 3.5.0)

Imports: lazyeval, rlang (≥ 0.2.0), listcomp (≥ 0.4.0), methods, data.table, Matrix, fastmap

Suggests: covr, magrittr, testthat

Published: 2023年09月09日

DOI: 10.32614/CRAN.package.ompr

Author: Dirk Schumacher [aut, cre]

Maintainer: Dirk Schumacher <mail at dirk-schumacher.net>

BugReports: https://github.com/dirkschumacher/ompr/issues

License: MIT + file LICENSE

URL: https://github.com/dirkschumacher/ompr

NeedsCompilation: no

Materials: README, NEWS

In views: Optimization

CRAN checks: ompr results

Documentation:

Reference manual: ompr.html , ompr.pdf

Downloads:

Package source: ompr_1.0.4.tar.gz

Windows binaries: r-devel: ompr_1.0.4.zip, r-release: ompr_1.0.4.zip, r-oldrel: ompr_1.0.4.zip

macOS binaries: r-release (arm64): ompr_1.0.4.tgz, r-oldrel (arm64): ompr_1.0.4.tgz, r-release (x86_64): ompr_1.0.4.tgz, r-oldrel (x86_64): ompr_1.0.4.tgz

Old sources: ompr archive

Reverse dependencies:

Reverse imports: grouper, kantorovich, MultiplierDEA, ompr.roi, OTrecod

Reverse suggests: signnet

Linking:

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