Result for 0E1ACE29FD3A718916FCC03C414290D5744A9E26

Query result

Key Value
FileName./usr/lib/R/library/RInside/libs/RInside.so
FileSize101980
MD5D14F500F0D5FD947C4784DB99D27E52A
SHA-10E1ACE29FD3A718916FCC03C414290D5744A9E26
SHA-2564959052ACC38FC9DEF174B5A8D895DFABF4B04BB5F9CD40E75622D4BE979F778
SSDEEP1536:N7MPY5AGXJFtXf5WOYPRPriFcivLosWEVtwVWdEG2VQIXQxR4BF7LgujO98:N7MPYKQ1kOYPQFcdEnwmABA+y98
TLSHT1D7A328296B43DD35DDF21FBC214B9721A7606E31A40FC752BE0ADB580C626DCAC267E1
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
MD583E130F011D83A19F358F4CD73D03B58
PackageArchi586
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
PackageRelease2.181
PackageVersion0.2.13
SHA-1AB92817569E8F49E3C8CA2CEA0A1850FA2A6EB47
SHA-256C88703F6F9996BF6D1FE6C2A452F8C1E884E0C3F3C39E2D5F2E9760801411636
Key Value
MD574CA181258543C3D6F4F49D13FC07C94
PackageArchi586
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
PackageRelease2.181
PackageVersion0.2.13
SHA-19A385F04005DBE18A5BA38F9E87FB5348064AB2A
SHA-2569F6B601B942B266ED950946F1851736CF985B2D743BA2B89852806D262B61E93