Result for 0877C86E3C04B48D3F68D4CAA3B4B3EA3DEB60B4

Query result

Key Value
FileName./usr/lib64/R/library/RInside/R/RInside.rdx
FileSize324
MD537C82432E2E5B914C4EDFC11E044873F
SHA-10877C86E3C04B48D3F68D4CAA3B4B3EA3DEB60B4
SHA-2566297EF891FEA9A7367CAB7839ECED06C840834A039B006D141CC87A76340CF66
SSDEEP6:XtVFDjOJhGR53Wps2uhTdqGsulYyQKcb+EZkBL7+Ws1Y4d:XxDT3j2ETkGsmYyflUeL6WUd
TLSHT113E02D2C93008223F0B98F39A00249D2E5C8C8ACE940D3DC340C41339447B52016BC1C
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
MD5A02A2B884DD8606D97F0333FB656CCD0
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
PackageReleaselp153.2.12
PackageVersion0.2.13
SHA-1D97A2183F268BB37A398E86654058C6203BF7B6D
SHA-256DBC5E3CAFA164A1F38F36F94DA30319ADCA9BEA6F8C6D4C67C62CCE16EB7FDAF
Key Value
MD59DD384EB6AC36618032CED4FD3CF94E7
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
PackageReleaselp150.2.36
PackageVersion0.2.13
SHA-111AE1137828EF0E64B0ED279BF78DB9689DBC238
SHA-256D403D22A28E9E389936CC5721D452AB0BA377014EAF5ED0E5D03530CAD910FFB