Package: CVXR
Type: Package
Title: Disciplined Convex Optimization
Version: 1.9.1
Date: 2026-06-05
Authors@R: c(
    person("Anqi", "Fu",
           role = c("aut", "cre"),
           email = "anqif@alumni.stanford.edu"),
    person("Balasubramanian", "Narasimhan",
           role = c("aut"),
           email = "naras@stat.stanford.edu"),
    person("Steven", "Diamond",
           role = c("aut")),
    person("John", "Miller",
           role = c("aut")),
    person("Stephen", "Boyd",
           role = c("ctb"),
           email = "boyd@stanford.edu")
    )
URL: https://cvxr.rbind.io, https://www.cvxgrp.org/CVXR/
BugReports: https://github.com/cvxgrp/CVXR/issues
Description: 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. This version uses the S7 object system for improved
    performance and maintainability.
Depends: R (>= 4.3.0)
Imports: S7 (>= 0.2), methods, Matrix (>= 1.7), Rcpp (>= 1.1), clarabel
        (>= 0.11), cli (>= 3.6), gmp (>= 0.7), highs (>= 1.14), osqp
        (>= 1.0), scs (>= 3.2), slam (>= 0.1)
Suggests: jsonlite (>= 1.9), knitr, rmarkdown, testthat (>= 3.3), rlang
Enhances: Rmosek, gurobi (>= 13.0), Rglpk (>= 0.6), ECOSolveR (>= 0.6),
        Rcplex (>= 0.3), cccp (>= 0.3), piqp (>= 0.6), scip, xpress,
        diffcp (>= 0.1), ipopt, sparsediff, Uno
Additional_repositories: https://bnaras.r-universe.dev,
        https://bnaras.github.io/drat
LinkingTo: Rcpp, RcppEigen
License: Apache License 2.0 | file LICENSE
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-06-08 23:19:35 UTC; naras
Author: Anqi Fu [aut, cre],
  Balasubramanian Narasimhan [aut],
  Steven Diamond [aut],
  John Miller [aut],
  Stephen Boyd [ctb]
Maintainer: Anqi Fu <anqif@alumni.stanford.edu>
Repository: CRAN
Date/Publication: 2026-06-09 07:00:27 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-07-19 02:27:44 UTC; windows
Archs: x64
