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CVXR: Disciplined Convex Optimization

An object-oriented modeling language for disciplined convex programming (DCP) as described in Fu, Narasimhan, and Boyd (2020, <doi:10.18637/jss.v094.i14>). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere are provided, both commercial and open source.

Version: 1.0-15
Depends: R (≥ 3.4.0)
Imports: methods, Matrix, Rcpp (≥ 0.12.12), bit64, gmp, Rmpfr, ECOSolveR (≥ 0.5.4), scs (≥ 3.0), stats, osqp, cli, utils
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat, nnls, slam, covr
Enhances: Rcplex, gurobi, rcbc, cccp, Rmosek, Rglpk, clarabel (≥ 0.9.0)
Published: 2024-11-07
DOI: 10.32614/CRAN.package.CVXR
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif at alumni.stanford.edu>
BugReports: https://github.com/cvxgrp/CVXR/issues
License: Apache License 2.0 | file LICENSE
URL: https://cvxr.rbind.io, https://www.cvxgrp.org/CVXR/
NeedsCompilation: yes
Additional_repositories: https://bnaras.github.io/drat
Citation: CVXR citation info
Materials: README NEWS
In views: Optimization
CRAN checks: CVXR results

Documentation:

Reference manual: CVXR.pdf
Vignettes: Disciplined Convex Optimization (source, R code)
version1 (source)

Downloads:

Package source: CVXR_1.0-15.tar.gz
Windows binaries: r-devel: CVXR_1.0-15.zip, r-release: CVXR_1.0-15.zip, r-oldrel: CVXR_1.0-15.zip
macOS binaries: r-release (arm64): CVXR_1.0-15.tgz, r-oldrel (arm64): CVXR_1.0-15.tgz, r-release (x86_64): CVXR_1.0-15.tgz, r-oldrel (x86_64): CVXR_1.0-15.tgz
Old sources: CVXR archive

Reverse dependencies:

Reverse depends: GhostKnockoff, tramnet
Reverse imports: ANCOMBC, CopSens, cuadramelo, DebiasInfer, DiSCos, ecpc, filling, finbipartite, fungible, graphicalExtremes, hedgedrf, HonestDiD, kantorovich, LavaCvxr, MaximinInfer, PlackettLuce, Rdimtools, Riemann, RobustIV, scpi, SIHR, SLSEdesign, spBPS, spStack, T4transport, wdnet, WRI
Reverse suggests: EpiForsk, fairml, glmmrOptim, PortfolioAnalytics, portfolioBacktest, spectralGraphTopology, transreg
Reverse enhances: starnet

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CVXR 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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