Result for 27F70DC572A1C3968D03A41D6E8091D0369D9BC4

Query result

Key Value
FileName./usr/lib64/R/library/regressoR/R/regressoR.rdx
FileSize3234
MD5F70353135126EAC147157E2B3293FAC7
SHA-127F70DC572A1C3968D03A41D6E8091D0369D9BC4
SHA-25659319B2CC86813ACB60BE79F449941A784923578A1B782E08FCB95D761807778
SSDEEP48:XnFi9TZR3d6Tqv3WJuZB6boYRourfADMsSnkcEHJV0RG4GN0QdPPnMKTI1ptUr4W:CDN6+JZZurjotcRGzNPPMNmr4k63a3Jr
TLSHT1F1616C197D9D777944148C2DDACA9518D37A8DEA32E3CDB4F0C5B005CA4809D2EE8A71
hashlookup:parent-total3
hashlookup:trust65

Network graph view

Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5411117AC6ECC5429E11FAA49882BFF39
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
PackageReleaselp152.1.1
PackageVersion2.0.1
SHA-1D790ADC3EA87C2A9CDFD80DB379564250E434E18
SHA-256E821FED89F44020FDB9787A437A09BC348FF967DE1548D38DEB0642C81A63D53
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
Key Value
MD5BD5F3932A816F45F639A2174E0C009CC
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
PackageReleaselp154.1.1
PackageVersion2.0.1
SHA-1EC52D06F3414F5B3FDE78A8E5AF2D1D79DA42538
SHA-256ED116C9F7084BF73B41A95FD3B04EAD7AD4523C39DF2E811E9B6D1DF8EDDEA6C