NEWS

---

JuliaCall 0.17.6

• Fix breakage with knitr 1.44 when using Plots in a julia chunk (#209).
• julia_setup now allows for passing version to override the default automatically downloaded version from "latest"
• Support for Julia v1.11 was fixed (#237)

JuliaCall 0.17.5 (2022-09-08)

• Nineteenth release on CRAN.

JuliaCall 0.17.4.9000

• Support keyword arguments for Callables. Fix #165.
• Add workaround for Julia 1.6+ on mac. Thank @JackDunnNZ.
• Use use knitr::sew() instead of deprecated knitr::wrap(). Thank Kevin Cazelles.
• Update install_julia to use official releases rather than Julia_jll. Thank @JackDunnNZ.
• Add support for macaarch64 to install_julia. Thank @JackDunnNZ.
• Fix warnings caused by pkg macro usage.

JuliaCall 0.17.4 (2021-05-16)

• Eighteenth release on CRAN.

JuliaCall 0.17.3.9000

• White space stripping for string command in julia_command and julia_eval. Fix #161.
• Fix #163 and other problems related to the display system.
• Use R_user_dir to get default julia installation position on R 4.0.

JuliaCall 0.17.2.9000

• Change the way to specific sysimage path in agree with pyjulia and julia -J/--sysimage.. command line. The new sysimage_path argument to the function julia_setup allows either an absolute path to the image, or a path relative to the current directory. (#155 by @JackDunnNZ).

JuliaCall 0.17.2 (2021-01-04)

• Seventeenth release on CRAN.

JuliaCall 0.17.1.9000

• Fix bug for Julia plot in RMarkdown document caused by change of knitr #1717.
• Workaround for #99: ERROR: could not load library on Debian/Ubuntu and other systems which build Julia with MULTIARCH_INSTALL=1 (#143 by @liskin).
• Add install_julia function for automatic installation of julia. (#135 by @christopher-dG).
• Add option "relative_sysimage_path" in function julia_setup() for custom sysimage loading (#140 by @dgrominski).
• Add option "installJulia" in function julia_setup() for automatic installation of Julia when Julia is not found.
• Fix problem of dll searching on Windows (#150).

JuliaCall 0.17.1 (2019-11-27)

• Sixteenth release on CRAN.

JuliaCall 0.17.0.9000

• Fix bug for not throwing error in RMarkdown document. Fix #122.
• Support julia chunk in RMarkdown notebook. Fix #98.
• Add julia_markdown_setup for setup of JuliaCall in RMarkdown document and notebook explicitly. Related to #98 and #132.

JuliaCall 0.17.0 (2019-10-21)

• Fifteenth release on CRAN.

JuliaCall 0.16.7.9000

• Bug fixes and add CI tests for function autowrap.
• New features for automatic package wrapping: julia_function, julia_pkg_import, and julia_pkg_hook.
• $.() for Julia callable object syntax.

JuliaCall 0.16.6.9000

• Fix bug about eval option in RMarkdown document, fix #109.
• Add a way to find Julia.exe on Windows when JULIA_HOME is not set. Thanks to @xiaodaigh.

JuliaCall 0.16.6 (2019-06-06)

• Fourteenth release on CRAN.

JuliaCall 0.16.5.9000

• julia_install_package accepts URLs to install packages, fix #106.
• Do not let print in startup files to mess up with julia_setup, fix #105.

JuliaCall 0.16.5 (2019-03-22)

• Thirteenth release on CRAN.

JuliaCall 0.16.4.9000

• Various improvements in documentation.
• Add a rebuild argument in the function julia_setup. The argument controls whether to rebuild RCall.jl, whose default value is FALSE to save startup time. If a new version of R is used, then this parameter needs to be set to TRUE.

JuliaCall 0.16.4 (2019-02-18)

• Twelfth release on CRAN.

JuliaCall 0.16.3.9000

• Improvement for JuliaObject, which frees the JuliaObject on the Julia side after it's freed on the R side.

JuliaCall 0.16.2.9000

• Respect engine.path option for Julia in RMarkdown document.
• Refactor Julia knitr engine to avoid use of knitr internal functions.

JuliaCall 0.16.2 (2019-01-03)

• Eleventh release on CRAN.

JuliaCall 0.16.1.9000

• Capturing Julia stdout in RMarkdown documents.

JuliaCall 0.16.1 (2018-10-25)

• Tenth release on CRAN.

JuliaCall 0.16.0.9000

• More deprecation warning fixed for Julia v0.7/1.0.

JuliaCall 0.16.0 (2018-08-17)

• Ninth release on CRAN.

JuliaCall 0.15.1.9000

• More deprecation warning fixed for Julia v0.7.
• JuliaCall is now compatible with RCall.jl v0.11.0 on Julia v0.7.
• Fix the problem caused by the failure of Pkg.build("RCall").
• Fix various small issues in Julia v1.0.
• Fix a segfault on Windows with Julia v0.7 and v1.0.
• JuliaCall now should be usable on Julia v0.7 and Julia v1.0 with released version of RCall.
• Fix issue #65 in julia_source on Julia v0.7 and v1.0.
• Remove julia_check which is deprecated a long time ago.

JuliaCall 0.15.0.9000

• Some performance improvements.
• Add install argument in julia_setup(), setting it to FALSE can reduce startup time when no installation or checking of dependent Julia packages is needed.
• Improve julia_console().

JuliaCall 0.15.0 (2018-08-01)

• Eighth release on CRAN.

JuliaCall 0.14.3.9000

• Try to remove R6 dependency to reduce overhead creating JuliaObject.
• Compatibility with Julia v0.7, currently need to use RCall#e59a546 with JuliaCall on Julia v0.7.
• Deprecation fixing with Julia v0.7.
• Implementation of diff.JuliaObject.

JuliaCall 0.14.2.9000

• Match the assignment behavior for JuliaObject to that in native R.
• Implementation of generics for is.numeric for JuliaObject.
• Bug correction for c.JuliaObject.

JuliaCall 0.14.1.9000

• Make the error in install_dependency not muted.
• Various performance improvements in julia_call interface functions.
• Performance improvement for sexp, rcopy and creation of JuliaObject.
• Performance improvement in display systems.
• Have a julia$simple_call interface which is a simple and more performant "equivalent" of the julia_call interface.
• Various small bug fixes.

JuliaCall 0.14.0 (2018-07-05)

• Seventh release on CRAN.

JuliaCall 0.13.2.9000

• Use more robust way to locate libjulia, fix #29 and #57.
• A simple interface to get access to JuliaCall from Rcpp.
• Bug correction for as.vector.JuliaObject.
• Bug correction for as.double.JuliaObject.
• Add error message that old version julia is not supported.
• Add error message when libjulia located is not a valid file.

JuliaCall 0.13.1.9000

• Various small bug fixes.
• JuliaObject supports multiple index.
• Implementation of mean, determinant and solve generics for JuliaObject.
• Implementation of c and t generics for JuliaObject.
• Implementation of aperm, dim<- and as.vector generics for JuliaObject.

JuliaCall 0.13.0.9000

• Important bug fixes.
• Reduce the number of messages from julia_setup(verbose = TRUE).
• 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.
• Bug fixing for unary operators on JuliaObject.
• Implement rep.JuliaObject.
• Important bug fix for assign of JuliaObject.
• 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.
• Fix display issue #54 when using JuliaCall from julia and RCall.jl.
• Speed up the loading a little.
• Array related methods dim.JuliaObject, is.array.JuliaObject and is.matrix.JuliaObject.

JuliaCall 0.13.0 (2018-05-01)

• Sixth release on CRAN.

JuliaCall 0.12.4.9000

• Add autowrap, which can generates automatic wrappers for julia types.
• Fix bugs in passing arguments in julia_docall and julia_call.

JuliaCall 0.12.3.9000

• Fix the issue in displaying JuliaObject, especially in Rmd documents. Fix #43.
• x$name could be used to get access to field(x, name) for JuliaObject.

JuliaCall 0.12.2.9000

• Speed up RCall checking.
• Use some tricks to get around julia issue #14577.

JuliaCall 0.12.2 (2018-04-01)

• Fifth release on CRAN.

JuliaCall 0.12.1.9000

• Clearer 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.

JuliaCall 0.12.1 (2018-02-24)

• Fourth release on CRAN.

JuliaCall 0.12.0.9000

• 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.

JuliaCall 0.11.1 (2017-11-16)

• Third release on CRAN.

JuliaCall 0.11.0.9000

• Remove deprecated julia_eval_string.
• Improve JuliaCall RMarkdown engine. The display system should work for all kinds of documents that RMarkdown supports.
• Should use older version of RCall with older version of R.

JuliaCall 0.10.6.9000

• Important bug fix in JuliaObject, for more detail, see github issue #15, issue #12 and #13 are related.
• Implement generics for JuliaObject, and fix many small bugs.
• Julia tuple converts to R S3 class of JuliaTuple based on list.
• Add fields, field and field<- function for JuliaObjects.
• Use R6 for the implementation of JuliaObject. It's lightweight, faster, and safer.

JuliaCall 0.9.3.9000

• Performance improvements for dot notation function call.

JuliaCall 0.9.3 (2017-10-12)

• Second release on CRAN.

JuliaCall 0.9.2.9000

• New Julia display system plotsViewer(), which integrates better into R.
• Fixes several bugs in JuliaCall, like removing deprecated functions.
• Improve display systems of RMarkdown and Jupyter R Notebook.

JuliaCall 0.9.1.9000

• Improve JuliaObject, same Julia object could enter julia_object_dict only once. And the display of JuliaObject becomes better. Also every common types of Julia Object could be wrapped by JuliaObject.
• 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.
• julia_eval_string is deprecated in favor of julia_eval.

JuliaCall 0.9.0.9000

• Try to convert julia tuple.
• Add JuliaObject, which serves as a proxy in R for julia object, which is the automatic conversion target when other choices are not possible.
• julia_setup() doesn't need to be called first unless you want to force julia to restart or you need to set the julia path.

JuliaCall 0.8.0.9000

• julia.do_call and julia_call now accept keyword arguments.
• JuliaCall works in Jupyter R notebook.
• JuliaCall works in R Markdown. The display system currently only work for html document. When there is no return from julia function and there is a need to display, a div with class=‘JuliaDisplay’ will be inserted into the html document with the corresponding content.
• Julia engine in R Markdown through JuliaCall.

JuliaCall 0.7.5.9000

• Have a basic julia display system, now the plot functionality in Julia works (mostly).
• JuliaCall is more consistent with julia.

JuliaCall 0.7.4.9000

• Added a NEWS.md file to track changes to the package.
• Add helpful error messages in libjulia DLL load and compilation.
• Add julia_assign which can assign a value to a name in julia with automatic type conversion.
• Give the option to set path for julia.
• Deprecate julia_check.
• julia_console. Now there is a fully functional julia repl in R terminal, and a usable julia console when you use IDE for R.
• In julia_setup, there is an option whether or not to use RCall.jl, RCall's R REPL mode and rgui will be set correctly.

JuliaCall 0.7.3 (2017-09-01)

• First release on CRAN.
• julia_setup for initial setup of JuliaCall.
• julia_eval_string, julia_command for executing commands in julia.
• julia_do.call and julia_call for calling functions in julia.
• Functions to deal with julia packages.
• Helper functions like julia_help.