convexjlr: Disciplined Convex Programming in R using 'Convex.jl'

Provides a simple high-level wrapper for 'Julia' package 'Convex.jl' (see <> for more information), which makes it easy to describe and solve convex optimization problems in R. The problems can be dealt with include: linear programs, second-order cone programs, semidefinite programs, exponential cone programs.

Version: 0.8.1
Depends: R (≥ 3.4.0)
Imports: JuliaCall (≥ 0.12.1), magrittr
Suggests: testthat, knitr, rmarkdown, plotrix
Published: 2018-12-16
Author: Changcheng Li [aut, cre]
Maintainer: Changcheng Li <cxl508 at>
License: Apache License version 1.1 | Apache License version 2.0 | file LICENSE [expanded from: Apache License | file LICENSE]
NeedsCompilation: no
SystemRequirements: Julia (>= 0.6.0), Convex.jl, SCS.jl, ECOS.jl
Materials: README NEWS
CRAN checks: convexjlr results


Reference manual: convexjlr.pdf
Vignettes: Convex Optimization by convexjlr


Package source: convexjlr_0.8.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): convexjlr_0.8.1.tgz, r-oldrel (arm64): convexjlr_0.8.1.tgz, r-release (x86_64): convexjlr_0.8.1.tgz, r-oldrel (x86_64): convexjlr_0.8.1.tgz
Old sources: convexjlr archive


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