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: 1.0.1
Depends: R (≥ 3.2.0)
Imports: lazyeval, rlang (≥ 0.2.0), listcomp (≥ 0.4.0), methods, data.table, Matrix, fastmap
Suggests: covr, magrittr, testthat
Published: 2022-01-26
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_1.0.1.tar.gz
Windows binaries: r-devel: ompr_1.0.1.zip, r-devel-UCRT: ompr_0.8.1.zip, r-release: ompr_0.8.1.zip, r-oldrel: ompr_0.8.1.zip
macOS binaries: r-release (arm64): ompr_1.0.1.tgz, r-release (x86_64): ompr_0.8.1.tgz, r-oldrel: ompr_0.8.1.tgz
Old sources: ompr archive

Reverse dependencies:

Reverse imports: ompr.roi, OTrecod

Linking:

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