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
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.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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