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

Provides a simple high-level wrapper for 'Julia' package 'Convex.jl' (see <https://github.com/JuliaOpt/Convex.jl> 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: 0.6.1
Imports: XRJulia, JuliaCall, magrittr
Suggests: testthat, knitr, rmarkdown, plotrix
Published: 2017-10-01
Author: Changcheng Li [aut, cre]
Maintainer: Changcheng Li <cxl508 at psu.edu>
License: Apache License version 1.1 | Apache License version 2.0 | file LICENSE [expanded from: Apache License | file LICENSE]
URL: https://github.com/Non-Contradiction/convexjlr
NeedsCompilation: no
SystemRequirements: Julia >= 0.5.0, Convex.jl, SCS.jl
Materials: README NEWS
CRAN checks: convexjlr results

Downloads:

Reference manual: convexjlr.pdf
Vignettes: Convex Optimization by convexjlr
Package source: convexjlr_0.6.1.tar.gz
Windows binaries: r-devel: convexjlr_0.6.1.zip, r-release: convexjlr_0.6.1.zip, r-oldrel: convexjlr_0.6.1.zip
OS X El Capitan binaries: r-release: convexjlr_0.6.1.tgz
OS X Mavericks binaries: r-oldrel: convexjlr_0.6.1.tgz
Old sources: convexjlr archive

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