Changes in version 0.17.6 (2024-12-07) - 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) Changes in version 0.17.5 (2022-09-08) - Nineteenth release on CRAN. Changes in version 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. Changes in version 0.17.4 (2021-05-16) - Eighteenth release on CRAN. Changes in version 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. Changes in version 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). Changes in version 0.17.2 (2021-01-04) - Seventeenth release on CRAN. Changes in version 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). Changes in version 0.17.1 (2019-11-27) - Sixteenth release on CRAN. Changes in version 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. Changes in version 0.17.0 (2019-10-21) - Fifteenth release on CRAN. Changes in version 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. Changes in version 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. Changes in version 0.16.6 (2019-06-06) - Fourteenth release on CRAN. Changes in version 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. Changes in version 0.16.5 (2019-03-22) - Thirteenth release on CRAN. Changes in version 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. Changes in version 0.16.4 (2019-02-18) - Twelfth release on CRAN. Changes in version 0.16.3.9000 - Improvement for JuliaObject, which frees the JuliaObject on the Julia side after it's freed on the R side. Changes in version 0.16.2.9000 - Respect engine.path option for Julia in RMarkdown document. - Refactor Julia knitr engine to avoid use of knitr internal functions. Changes in version 0.16.2 (2019-01-03) - Eleventh release on CRAN. Changes in version 0.16.1.9000 - Capturing Julia stdout in RMarkdown documents. Changes in version 0.16.1 (2018-10-25) - Tenth release on CRAN. Changes in version 0.16.0.9000 - More deprecation warning fixed for Julia v0.7/1.0. Changes in version 0.16.0 (2018-08-17) - Ninth release on CRAN. Changes in version 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. Changes in version 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(). Changes in version 0.15.0 (2018-08-01) - Eighth release on CRAN. Changes in version 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. Changes in version 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. Changes in version 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. Changes in version 0.14.0 (2018-07-05) - Seventh release on CRAN. Changes in version 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. Changes in version 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. Changes in version 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. Changes in version 0.13.0 (2018-05-01) - Sixth release on CRAN. Changes in version 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. Changes in version 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. Changes in version 0.12.2.9000 - Speed up RCall checking. - Use some tricks to get around julia issue #14577. Changes in version 0.12.2 (2018-04-01) - Fifth release on CRAN. Changes in version 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. Changes in version 0.12.1 (2018-02-24) - Fourth release on CRAN. Changes in version 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. Changes in version 0.11.1 (2017-11-16) - Third release on CRAN. Changes in version 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. Changes in version 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. Changes in version 0.9.3.9000 - Performance improvements for dot notation function call. Changes in version 0.9.3 (2017-10-12) - Second release on CRAN. Changes in version 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. Changes in version 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. Changes in version 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. Changes in version 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. Changes in version 0.7.5.9000 - Have a basic julia display system, now the plot functionality in Julia works (mostly). - JuliaCall is more consistent with julia. Changes in version 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. Changes in version 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.