Result for 107F1DC4125B114EB8EB6DE9C9515AD426F985E6

Query result

Key Value
FileName./usr/lib64/R/library/Matrix/external/wrld_1deg_slots.rda
FileSize119234
MD5CA51A0B8B76E7EA3E7881CC8DA1390B1
RDS:package_id293685
SHA-1107F1DC4125B114EB8EB6DE9C9515AD426F985E6
SHA-25693A85BCE9DDEC38A259ED499C2F0BD345939FD6F94C91626C57ADECB8D01A4F7
SSDEEP3072:9M9KGNpZDcaT0/7VGAlb2+h838JMDQF0oaDcOg4Woo:BEDt4/UH++nDfoMcf4Wz
TLSHT1F2C3F1BED3929007FC95CAF8006D02F44A9AA152976CE184DF399EECCCFD9427925D2D
insert-timestamp1678969811.8694305
sourceRDS.db
tar:gnameroot
tar:unameroot
hashlookup:parent-total86
hashlookup:trust100

Network graph view

Parents (Total: 86)

The searched file hash is included in 86 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5A06B901C3AF9A7B9573BC0FA4F13FF4D
PackageArchi586
PackageDescriptionThis packages provides R-Matrix, one of the recommended packages.
PackageNameR-Matrix
PackageRelease160.46
PackageVersion1.3.4
SHA-1081288AFD62C550D858B250F4895E7B9930FC079
SHA-256DC8BC89A620D131C179ED3BE28DA265B14D49ED7C805DBAEF93806E139B3B35B
Key Value
MD50B5472F718014AC4C5B8150047287B40
PackageArchs390x
PackageDescriptionA language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainerFedora Project
PackageNameR-core
PackageRelease1.el8
PackageVersion4.1.1
SHA-108E03E073B8E8B10B9E85123DE9D76B5F9C29A78
SHA-256253FBBD3E1B70A54CA8956A9E89200B6AAAF2A1900B790294978B3733465CC18
Key Value
FileSize3622804
MD5CF62D9DF8677777F0BCA5A64B4EC2870
PackageDescriptionGNU R package of classes for dense and sparse matrices This CRAN package provides S4 classes and methods for numerical linear algebra using dense or sparse matrices. The sparse matrix implementation uses code from the LDL sparse matrix package and code from the Metis package of partitioning algorithms.
PackageMaintainerDirk Eddelbuettel <edd@debian.org>
PackageNamer-cran-matrix
PackageSectiongnu-r
PackageVersion1.3-4-2
SHA-10E240917A0FDBA58E4A42C04441D3F10C715C9D9
SHA-25659C99303B11288186765FC0A9E78851A2E8057373DD538C5E61A29ED3002199E
Key Value
MD5929C899A1884F233F6CA878523729123
PackageArchx86_64
PackageDescriptionThis packages provides R-Matrix, one of the recommended packages.
PackageNameR-Matrix
PackageRelease45.1
PackageVersion1.3.4
SHA-1103A5E857E753287E5609231CA04D4FEAD6AD459
SHA-256C1D49AE365420A7C8590C60FEA54734A349F3DA1C4BC44886D86005D3267A202
Key Value
MD53CA9F8B52C81449C328759F6C890F6B7
PackageArcharmv7hl
PackageDescription`GNU S' - A language and environment for statistical computing and graphics. R is similar to the S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.
PackageMaintainerjoequant <joequant>
PackageNameR-base
PackageRelease3.mga9
PackageVersion4.1.3
SHA-111C37D237DE880893A491B1743C39B4F26AD0060
SHA-2567C4816B762595A25E43B183D45A6D760A35EF109039FC7063664902CD248185A
Key Value
FileSize3649004
MD58235D26193A63A1D72FEEB3CA61BFA14
PackageDescriptionGNU R package of classes for dense and sparse matrices This CRAN package provides S4 classes and methods for numerical linear algebra using dense or sparse matrices. The sparse matrix implementation uses code from the LDL sparse matrix package and code from the Metis package of partitioning algorithms.
PackageMaintainerDirk Eddelbuettel <edd@debian.org>
PackageNamer-cran-matrix
PackageSectiongnu-r
PackageVersion1.3-4-2
SHA-11203B929BB186FEB68571B39776580892AE27A21
SHA-256B7F928EA8F7BEBC439BA87130C52D0F919E67C1D9130B04B62168F3DF70FD9E6
Key Value
MD5A4B76872AA67768135EA45439414AED8
PackageArchx86_64
PackageDescriptionThis packages provides R-Matrix, one of the recommended packages.
PackageNameR-Matrix
PackageRelease45.54
PackageVersion1.3.4
SHA-114C73137ECF263BDD8E18A7D0A4934EB66EE9475
SHA-256283805C497200807100A48F8A4F1158B295EF7A71F24B6551A94EAEA59B4DF5D
Key Value
MD5EFC2E45EA4E50334B04358D87AA81FDA
PackageArchx86_64
PackageDescriptionThis packages provides R-Matrix, one of the recommended packages.
PackageNameR-Matrix
PackageRelease2081.1
PackageVersion1.3.4
SHA-1178385E300A255A1530D683B0715726C1FE9CEE0
SHA-2563C3D900119F004056F2A60617EE2C08DCBB7C62E7C04A37DAFB272F26E4B5A00
Key Value
MD57747241941BD37658D9A50D19F6B7A12
PackageArchi586
PackageDescriptionThis packages provides R-Matrix, one of the recommended packages.
PackageMaintainerhttps://bugs.opensuse.org
PackageNameR-Matrix
PackageRelease39.7
PackageVersion1.3.4
SHA-11B100AFC0F057E7E47DEAF30D373860688390985
SHA-256216E3C97CC80270EC80995E89FFC630EF0A30FA3569D19276161560C0C700ABB
Key Value
FileSize3548932
MD53EA50A34B413B048526C8F5AE63DC1AE
PackageDescriptionGNU R package of classes for dense and sparse matrices This CRAN package provides S4 classes and methods for numerical linear algebra using dense or sparse matrices. The sparse matrix implementation uses code from the LDL sparse matrix package and code from the Metis package of partitioning algorithms.
PackageMaintainerDirk Eddelbuettel <edd@debian.org>
PackageNamer-cran-matrix
PackageSectiongnu-r
PackageVersion1.3-2-1
SHA-11C14C0CD3EAE591F120F62FD3EEA6045E2E4FF2C
SHA-256980B18F59CB4AE9AB33FB50829A0F38903CD1B7794A0E0CFB6E573CB6F3A9F7A