scip: Interface to the SCIP Optimization Suite

Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.

Version:	1.10.0-2
Depends:	R (≥ 4.0)
Imports:	methods, Matrix
Suggests:	tinytest, slam, knitr, rmarkdown
Published:	2026-04-03
DOI:	10.32614/CRAN.package.scip
Author:	Balasubramanian Narasimhan [aut, cre], SCIP Optimization Suite Authors [cph] (SCIP, SoPlex, PaPILO libraries)
Maintainer:	Balasubramanian Narasimhan <naras at stanford.edu>
BugReports:	https://github.com/bnaras/scip/issues
License:	Apache License (≥ 2)
URL:	https://github.com/bnaras/scip, https://scipopt.org/
NeedsCompilation:	yes
SystemRequirements:	CMake (>= 3.11), GNU make, C++17
Citation:	scip citation info
Materials:	README, NEWS
CRAN checks:	scip results

Documentation:

Reference manual:	scip.html , scip.pdf
Vignettes:	Solving Optimization Problems with SCIP (source, R code)

Downloads:

Package source:	scip_1.10.0-2.tar.gz
Windows binaries:	r-devel: scip_1.10.0-2.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): scip_1.10.0-2.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Reverse dependencies:

Reverse enhances:

CVXR

Linking:

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