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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: 2023-09-09
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.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: kantorovich, MultiplierDEA, ompr.roi, OTrecod, polyhedralCubature
Reverse suggests: signnet

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ompr to link to this page.

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.
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