- Remove deprecated
JuliaCall as the default backend.
- Fix deprecation warnings from
- Fix some little bugs.
- Add the option in
convex_setup to set the path to
- The second release on CRAN.
- Supports multiple ways to connect to
julia, one way is through package
XRJulia, and the other way is to use package
JuliaCall. The difference is as follows:
XRJulia connects to
julia, which is the default for
convexjlr, the advantage is the simplicity of the installation process, once you have a working R and working julia, it should be okay to use
convexjlr in this way. Note that if you have the latest Julia version (v0.6.0) installed, then you have to use the latest version of
julia in R, the advantage is the performance, for example, if your convex problem involves large matrice or long vectors, you may wish to use
JuliaCall backend for
convexjlr; the disadvantage is the installation process, since embedding
julia needs compilations.
- Added a
NEWS.md file to track changes to the package.
- Re-organize tests.
setup, should use
- The first release on CRAN.