Result for 4D046B195285A6E18609B4EBAEE3872866439BDD

Query result

Key Value
FileName./usr/lib64/R/library/RInside/R/RInside.rdx
FileSize324
MD5072541457DCC1FA75C5EED6712D0CF29
SHA-14D046B195285A6E18609B4EBAEE3872866439BDD
SHA-2566920198C9D34DD29E3D2AE4659FDE592CDF74097B5678D65D4E3344772A21BB8
SSDEEP6:XtVFDjOJhdN6vo1N8rNhTdqGsulYyQKcb+WFiLoDsZK9q:XxcNj3WDTkGsmYyflhsDrq
TLSHT1D6E07DA96B019411D5E5873EBA45AA41C18C0CEC9185EBDA2A4D0043E25A7124B5DC49
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5CD1218F96C3941EC0EB32A13E2846451
PackageArchx86_64
PackageDescriptionC++ classes to embed R in C++ applications The 'RInside' packages makes it easier to have R inside your C++ application by providing a C++ wrapper class providing the R interpreter. 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 eight 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') and eigen (for 'RInside' use with 'RcppEigen'). The example 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.
PackageNameR-RInside
PackageRelease2.45
PackageVersion0.2.13
SHA-1FA4E53333217071AB6F3C581C9B1511FBFB9FFBD
SHA-2568244DB1EAE1F144DDA1EAA1346958CE929ABB7EE02FF7CD8398161E4DEB47AB3
Key Value
MD5A4062FF09E10FAD05C886780B70C5C82
PackageArchx86_64
PackageDescriptionC++ classes to embed R in C++ applications The 'RInside' packages makes it easier to have R inside your C++ application by providing a C++ wrapper class providing the R interpreter. 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 eight 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') and eigen (for 'RInside' use with 'RcppEigen'). The example 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.
PackageNameR-RInside
PackageRelease2.6
PackageVersion0.2.13
SHA-19D1D069104065F355595238A281373AB0C739924
SHA-256508AA37A2365A5E3316D018C262A8E8396812F57F82A7489BC1C79B31079FAA3