Release v0.16.0 on CRAN

Changes since v0.15.0

• JuliaCall now supports Julia v0.7 as well as Julia v1.0.

Improvements

• Some performance improvements.
• julia_setup() will try to rebuild RCall if there is any problem in installation of RCall.
• Improvements in julia_console().

Bug fixes

• Fix issue #65 in julia_source on Julia v0.7 and v1.0.

Release v0.15.0 on CRAN

Changes since v0.14.0

Features

• Have a julia$simple_call interface which is a simple and more performant "equivalent" of the julia_call interface.
• Compatibility with Julia v0.7, currently need to use RCall#e59a546 with JuliaCall on Julia v0.7.

Improvements

• Great performance improvements in julia_call and JuliaObject interface.
• Remove R6 dependency to reduce overhead creating JuliaObject.
• Performance improvements in display systems.
• Implementation of diff.JuliaObject, is.numeric.JuliaObject.
• Make the error in install_dependency script not muted.

Bug fixing

• Fix issues in the assignment for JuliaObject and c.JuliaObject.
• Various small bug fixes.

Release v0.14.0 on CRAN

Changes since v0.13.0

Features

• A simple interface to get access to JuliaCall from Rcpp.
• Add need_return argument to julia_eval, now there is a possibility to return
  the result as an JuliaObject, which is convenient for many use cases requiring
  an R object corresponding to a julia object.

Improvements

• Use more robust way to locate libjulia, fix #29 and #57.
• Add error message that old version julia is not supported.
• Add error message when libjulia located is not a valid file.
• Reduce the number of messages from julia_setup(verbose = TRUE).
• Speed up loading.
• JuliaObject supports multiple index.
• Implements various S3 generic methods for JuliaObject, including
  mean, determinant, solve, c, t, aperm, dim<-, as.vector, rep, dim, is.array and is.matrix.
• New experimental assign! to match behavior for assign in R and use it for JuliaObject.
• Experimental JuliaPlain idea to alleviate the problem that R dispatches only on the first argument,
  make ifelse possible to work for JuliaObject.

Bug fixing

• Various small bug fixes.
• Bug correction for as.vector.JuliaObject.
• Bug correction for as.double.JuliaObject.
• Bug fixing for unary operators on JuliaObject.
• Important bug fix for assign of JuliaObject.
• Fix display issue #54 when using JuliaCall from julia and RCall.jl.

Release v0.13.0 on CRAN

Changes since v0.12.2

Features

• Add autowrap, which can generates automatic wrappers for julia types.
• x$name could be used to get access to field(x, name) for JuliaObject.

Bug Fixes and Improvements

• Speed up julia_setup(), improve RCall checking.
• Use some tricks to get around julia issue #14577, so it is now possible to julia_command("using xxx)" when package xxx is non-precompiled.
• Fix bug in passing named arguments in julia_docall and julia_call.
• Fix the issue in displaying JuliaObject, especially in Rmd documents. Fix #43.

Release v0.12.2 on CRAN

Changes since v0.12.1

• Improved documentation for JULIA_HOME.
• More helpful error message for julia_setup().
• Bug fix for julia engine in Rnw files.
• Bug fix for JuliaCall in rtichoke.

Release v0.12.1 on CRAN

• JuliaCall requires Julia 0.6 as Julia 0.5 is now officially unmaintained.
• Don't use inline to compile functions at julia_setup() any more,
  accelerate the startup time.
• Load juliarc in julia_setup.
• Fix the bug that julia_setup() fails to correctly load libjulia.dll
  if JULIA_HOME is not in path on windows.
• Get JULIA_HOME from environment variable.

Release v0.11.1 on CRAN

In this release, there are a lot of performance improvements and bug fixes in JuliaCall. Some highlights of this release.

• Performance improvements for dot notation function call,
• Important bug fix in JuliaObject.
• R6 implementation of JuliaObject, which should be faster, safer and easier for maintenance.
• Basic method dispatching for JuliaObject.
• Great improvement in Julia engine for RMarkdown.

Release v0.9.3 on CRAN

Below are most important change and improvements:

Interface

• Add julia_assign which can assign a value to a name in julia with automatic type conversion.
• In julia_setup(), give the option to set path for julia, and the option whether or not to use RCall.jl.
• julia_console. Now there is a fully functional julia repl in R terminal,
  and a usable julia console when you use IDE for R.
• JuliaCall is more consistent with julia.
• julia.do_call and julia_call now accept keyword arguments.
• Add JuliaObject, which serves as a proxy in R for julia object,
  which is the automatic conversion target when other choices are not possible.
  And the users could now choose to have JuliaObject type return value instead of
  R Object.
• Dot notation in julia is now accepted through the julia_call interface.

Improvements in Plots Display, Jupyter R Notebook and RMarkdown

• Have a basic julia display system, now the plot functionality in Julia works (mostly).
• New julia display system plotsViewer(), which integrates better into R, especially RStudio.
• JuliaCall works in Jupyter R notebook.
• JuliaCall works in RMarkdown. The display system currently only work for html document.
• Julia engine in RMarkdown through JuliaCall.]
• Lots of julia plot packages are supported, including Plots.jl with
  the plot backends gr, pyplot, plotly and plotlyjs.

Deprecated Functions

• Deprecate julia_check.
• julia_eval_string is deprecated in favor of julia_eval.

Release v0.7.3 on CRAN

Use compareVersion, which resolves potential future bugs.