Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	FF170D789FE94961904B35FC44149244
PackageArch	x86_64
PackageDescription	Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageName	R-predictoR
PackageRelease	lp152.1.1
PackageVersion	2.0.5
SHA-1	FEDC9AAD549B4F28C07CD370FF54E34C18CBD79C
SHA-256	197B04153340D42EAF43A624AE8FB428BE3FCB4CED884A3E285B4E540392EF5C

Key	Value
MD5	2EA45F6051D80EBD6B17A2B3FF9FAB6B
PackageArch	x86_64
PackageDescription	Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageName	R-predictoR
PackageRelease	lp154.1.1
PackageVersion	2.0.5
SHA-1	33770562E44AD05CC8CE71B6BC2E328EC7AFA090
SHA-256	4DD60B268495C37CDC69CED5251E93E765AF551F72059C877BF1E5DEE898CA76

Key	Value
MD5	411117AC6ECC5429E11FAA49882BFF39
PackageArch	x86_64
PackageDescription	Perform 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.
PackageName	R-regressoR
PackageRelease	lp152.1.1
PackageVersion	2.0.1
SHA-1	D790ADC3EA87C2A9CDFD80DB379564250E434E18
SHA-256	E821FED89F44020FDB9787A437A09BC348FF967DE1548D38DEB0642C81A63D53

Key	Value
MD5	07E2E1964FD93A0177B6C1D9AE682654
PackageArch	x86_64
PackageDescription	Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
PackageName	R-discoveR
PackageRelease	lp152.2.1
PackageVersion	2.2.6
SHA-1	D47B743105AD2CAAAC14C5FA43CCA90F431414FA
SHA-256	39430906B581A022B7821000A6EA78236DF2B2448BBB97A1141F311E210C8BAF

Key	Value
MD5	E00A668D73BB7452A43A78C87B07F1DE
PackageArch	x86_64
PackageDescription	Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageName	R-predictoR
PackageRelease	1.1
PackageVersion	2.0.5
SHA-1	8FC297A09C4828463452F90D21589098A18B47C1
SHA-256	087BB93109ADAEB2D77F5CE66A542E3CB045E4E4A6BAE2C54ECD648B64735E3C

Key	Value
MD5	BD5F3932A816F45F639A2174E0C009CC
PackageArch	x86_64
PackageDescription	Perform 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.
PackageName	R-regressoR
PackageRelease	lp154.1.1
PackageVersion	2.0.1
SHA-1	EC52D06F3414F5B3FDE78A8E5AF2D1D79DA42538
SHA-256	ED116C9F7084BF73B41A95FD3B04EAD7AD4523C39DF2E811E9B6D1DF8EDDEA6C

Key	Value
MD5	BE91326CD4C27D4EDB73E0871CC867E8
PackageArch	x86_64
PackageDescription	Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
PackageName	R-discoveR
PackageRelease	lp153.2.1
PackageVersion	2.2.6
SHA-1	7DB9054774B6E43289B11F30A2A89FA3A846923D
SHA-256	1E9FA0262E7E572A0DA206F694852CAA4006C3D94DB99209922D52AA134558CE

Key	Value
MD5	4470C2A717DE340DEE6A043010ECA138
PackageArch	x86_64
PackageDescription	Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
PackageName	R-discoveR
PackageRelease	lp154.2.1
PackageVersion	2.2.6
SHA-1	10027E212FCC7E98A967E2D1111565C668FD005B
SHA-256	FE2DB666D5F3EBEC3FBFBE697C8EFA930A09B2FF601ACD1DEB6290D978B04CA6

Key	Value
MD5	270D6E8A4BA4F05751D40B83D6A91157
PackageArch	x86_64
PackageDescription	Perform 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.
PackageName	R-regressoR
PackageRelease	1.1
PackageVersion	2.0.1
SHA-1	F9AABAE08741D58DE75F397DAFA099CF5B84024F
SHA-256	7C71391E51893E5085007813EF2D8864A412A9AE215017530925EE5641A56899

Key	Value
MD5	66EB82D3D75EEE0D1F14992D9B28F860
PackageArch	x86_64
PackageDescription	Perform 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.
PackageName	R-regressoR
PackageRelease	lp153.1.1
PackageVersion	2.0.1
SHA-1	6EBF19B40D9944CF4F2D7965FF83C2561FE6C486
SHA-256	68EE6F69FA3B460CCA3BFE5D1CAC7817232A4EFA2BB3A146F31A13A4C67F4BE9

Key	Value
MD5	C3477C2BF9F7B13B3A5333D13C7A1768
PackageArch	x86_64
PackageDescription	Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
PackageName	R-predictoR
PackageRelease	lp153.1.1
PackageVersion	2.0.5
SHA-1	08CBDDA0202FD10DB3AA4C8625F061469678D7CE
SHA-256	95A759E25D2A5E4DAB532EB600B2402117CF408FC33DA1BB336B2CF5DCE260EB

Key	Value
MD5	B372FF8EF756F8C614FBFF9089094739
PackageArch	x86_64
PackageDescription	Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
PackageName	R-discoveR
PackageRelease	2.1
PackageVersion	2.2.6
SHA-1	7931B3D4446F9EA607C3F6B86033384A4600F69E
SHA-256	1D4CB262902E3D7D7A81611009175F5C0C17A64BD6F0B3F9D0BAA82F9922056A