Result for 9445DEFF18398A7524DA9D636E86DEA8E821C194

Query result

Key Value
FileName./usr/lib/R/site-library/CVST/html/00Index.html
FileSize5000
MD5E2A72200894BA704A8570E221A94E51B
SHA-19445DEFF18398A7524DA9D636E86DEA8E821C194
SHA-256EB4B19263C8ED29FCDBF38EC38EB6014BEA1E9160C1DDC4D045127E53A586AC5
SSDEEP96:1zFeRK41g3M0ap9afSHzVU9twdEQ9zmVr3MoafkkIzazGzTiaHMzbzTFapLpJXtY:TeEkCMNpMOW57M5M/+CTPH0/TkpNXzg
TLSHT1ACA16E82B5F299BDC490129995583DA967A042F037CA5E805E2FBCF79B027F5D3312C7
hashlookup:parent-total5
hashlookup:trust75

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Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize86656
MD5BBE948F08A28CE03B193E712C3DA8840
PackageDescriptionGNU R fast cross-validation via sequential testing This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating underperforming candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-cvst
PackageSectiongnu-r
PackageVersion0.2-2-3
SHA-17200E021540F70CF7C36199093C79518A6F6A76D
SHA-256F6F03444889550BE4AECE08C1FFCC1120A79D7D1BA9AE2260E5329C267A6F330
Key Value
FileSize86904
MD5D7766B97E27D7A8D3567C30FD4D3CD88
PackageDescriptionGNU R fast cross-validation via sequential testing This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating underperforming candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-cvst
PackageSectiongnu-r
PackageVersion0.2-2-3build1
SHA-1FD45862F0D51425EA6008753BACB20978295BD62
SHA-256BDE0F32A706FC5D0F0CFE0B7AF3FB3106BFAD4D588379211F3C2A0B5B78E55E1
Key Value
FileSize85952
MD5A5E9E5CB6734D16B838DFBFF456BD0CE
PackageDescriptionGNU R fast cross-validation via sequential testing This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating underperforming candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-cvst
PackageSectiongnu-r
PackageVersion0.2-2-2
SHA-196EFBD09FF862B3EC1406941A3593CAF913FE855
SHA-25613947E3FBAA0F01C8934720452910E003479DE98DCB674230D776770954988D1
Key Value
MD50D408AA1A42074C62B0E0248EB361B38
PackageArchx86_64
PackageDescriptionThe fast cross-validation via sequential testing (CVST) procedure is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating under-performing candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageNameR-CVST
PackageReleaselp153.2.1
PackageVersion0.2.2
SHA-11FCACE5685159988E209421EDBAAE82BB4023C25
SHA-256A587FDA35E1907F69BF80556E80F2648440D013B5D4C122A05A016EFD519CAED
Key Value
FileSize85736
MD5D4136FD7D7C78CBBBB5F1B26DE8F3E61
PackageDescriptionGNU R fast cross-validation via sequential testing This package implements the fast cross-validation via sequential testing (CVST) procedure. CVST is an improved cross-validation procedure which uses non-parametric testing coupled with sequential analysis to determine the best parameter set on linearly increasing subsets of the data. By eliminating underperforming candidates quickly and keeping promising candidates as long as possible, the method speeds up the computation while preserving the capability of a full cross-validation. Additionally to the CVST the package contains an implementation of the ordinary k-fold cross-validation with a flexible and powerful set of helper objects and methods to handle the overall model selection process. The implementations of the Cochran's Q test with permutations and the sequential testing framework of Wald are generic and can therefore also be used in other contexts.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-cvst
PackageSectiongnu-r
PackageVersion0.2-2-2
SHA-1411DAA051D0751653BF920FA8E1E3FA7C38FA918
SHA-256E8C9921F645BA124EE65B55FF04F94395D0F22DFE8E0B47B75DA56A675C4EE9A