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: | 0.8.1 |
| 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 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 (>= 0.6.0), 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: convexjlr_0.8.1.zip, r-release: convexjlr_0.8.1.zip, r-oldrel: convexjlr_0.8.1.zip |
| 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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