Result for 33383285386C1732A7FFFD316254AD9534B2A941

Query result

Key Value
FileName./usr/lib64/R/library/CVST/help/CVST.rdx
FileSize433
MD55381795BEB3215414BD8F40010424EB6
SHA-133383285386C1732A7FFFD316254AD9534B2A941
SHA-256ABF19E3C7180729ECCD01BB75B6B593DF939A206B28C4FFA847665A927F792E4
SSDEEP12:Xl97fGGTZB+akVRTk4DWUEprWzY2nD68BZ/Kg4MZv7zvth:XldukBODWJT8WgbBbth
TLSHT186E0233649C3E3AE4644631F40F67844250F80B84F9F4C2E8EBD95C9E853C05757E874
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
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