C++ Classes to Embed R in C++ (and C) Applications R package RInside version 0.2.19 CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) C++ classes to embed R in C++ (and C) applications A C++ class providing the R interpreter is offered by this package making it easier to have "R inside" your C++ application. As R itself is embedded into your application, a shared library build of R is required. This works on Linux, OS X and even on Windows provided you use the same tools used to build R itself. Numerous examples are provided in the nine subdirectories of the examples/ directory of the installed package: standard, 'mpi' (for parallel computing), 'qt' (showing how to embed 'RInside' inside a Qt GUI application), 'wt' (showing how to build a "web-application" using the Wt toolkit), 'armadillo' (for 'RInside' use with 'RcppArmadillo'), 'eigen' (for 'RInside' use with 'RcppEigen'), and 'c_interface' for a basic C interface and 'Ruby' illustration. The examples use 'GNUmakefile(s)' with GNU extensions, so a GNU make is required (and will use the 'GNUmakefile' automatically). 'Doxygen'-generated documentation of the C++ classes is available at the 'RInside' website as well. Software Imports: Rcpp LinkingTo: Rcpp Dirk Eddelbuettel <edd@debian.org> Comprehensive R Archive Network (CRAN) Dirk Eddelbuettel [aut, cre] (ORCID: <https://orcid.org/0000-0001-6419-907X>), Romain Francois [aut] (ORCID: <https://orcid.org/0000-0002-2444-4226>), Lance Bachmeier [ctb] GPL (>= 2) 2025-04-22 application/tgz https://CRAN.R-project.org/package=RInside doi:10.32614/CRAN.package.RInside