Result for 0A986779E479A62B5A2864ED6611AC23D73763A1

Query result

Key Value
FileName./usr/lib64/R/library/regressoR/Meta/package.rds
FileSize1532
MD58D194EA0F85180394BE883C043EBFECD
SHA-10A986779E479A62B5A2864ED6611AC23D73763A1
SHA-2561F295EBE218ECF23E58DC60D55849249FE2E8A4E209CB09F46B7D4623AA50394
SSDEEP24:XZsbEvL7xcAE2xcOfXi+SqcSJQHbs4mJOeRpT3fmaVYUZWofgLJYnFJ/2GvJ0Tjz:XbD7xcFOfXt/M50pT6cZf8JYFJ+G6Tjz
TLSHT121312C4B67669B990D920F250987D4970C878B3C11EEDEA0718DBCEDF428442002DC4E
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD566EB82D3D75EEE0D1F14992D9B28F860
PackageArchx86_64
PackageDescriptionPerform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.
PackageNameR-regressoR
PackageReleaselp153.1.1
PackageVersion2.0.1
SHA-16EBF19B40D9944CF4F2D7965FF83C2561FE6C486
SHA-25668EE6F69FA3B460CCA3BFE5D1CAC7817232A4EFA2BB3A146F31A13A4C67F4BE9