Result for 3853566B2D364A26DE303C62353551E7CE81A829

Query result

Key Value
FileName./usr/lib64/R/library/RInside/R/RInside.rdx
FileSize324
MD5C0948FF1ABF6A7F1EF0824C0107DF224
SHA-13853566B2D364A26DE303C62353551E7CE81A829
SHA-256DEE8D978F4FA31D39EE82EE47B18CAE86400926E7A18929F556B89DB8D2CC7F9
SSDEEP6:XtVFDjOJhJWxQ1Tgrf8uFahTdqGsulYyQKcb+iBL7+Ws1Y4Mf:Xxg2gTgrf5yTkGsmYyfloL6WUw
TLSHT123E07D3D67108123F8F84E39B5565EA2D5C8CEEDDC51D3C930084123A557B6245AAC5D
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
MD54B3D190A11D540B37790857C99DA70D6
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
PackageRelease2.18
PackageVersion0.2.13
SHA-11F9CCDCCB0C24E6E0B940AA5D510360B2E177FBC
SHA-256B94A19C8E76858E005D57EF305576D24A369A7D1C4106B4FB30C0A372C0247AF
Key Value
MD581B5F49752A398EC83954FA13CC15CF6
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
PackageRelease2.18
PackageVersion0.2.13
SHA-14CD9AFAE0FF9CEC42DAD43627C687996929BA7E4
SHA-256373F9112F2F697FDD80B0047FA0F32E5FE8E6611D61C5E99F646CCB16BAB9EC6