convexjlr: Disciplined Convex Programming in R using Convex.jl

Package convexjlr 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: 0.5.1
Imports: XRJulia, magrittr
Suggests: testthat, knitr, rmarkdown, plotrix
Published: 2017-06-21
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 >= 0.5.0, Convex.jl, SCS.jl
Materials: README
CRAN checks: convexjlr results


Reference manual: convexjlr.pdf
Vignettes: Convex Optimization by convexjlr
Package source: convexjlr_0.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: convexjlr_0.5.1.tgz
OS X Mavericks binaries: r-oldrel: convexjlr_0.5.1.tgz
Old sources: convexjlr archive


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