Result for 43B9A7098FFCB5E99D7C0E6D851705AEBAA4E9A3

Query result

Key Value
FileName./usr/lib64/R/library/CVST/R/CVST.rdx
FileSize820
MD51DB8CD71FCA9498143BBE2DA4E5B5CAD
SHA-143B9A7098FFCB5E99D7C0E6D851705AEBAA4E9A3
SHA-256F44E920FCFFD9E47FA1DC557720C51723628C0275B42EA52201C04748F7BA8C1
SSDEEP24:XWcByZW4S23CgE3DCnNVwsOhAg3FBRWXhwbabO2MKY:XWchTmCiN03FBR8jbDMx
TLSHT126014627BE79C293D4AF56F1329F4B446B0EA281504669BFD10015491A5D131FD23DAC
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
MD53B4FF4E1584D374A1D5ABA8E6B3CE121
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
PackageRelease2.24
PackageVersion0.2.2
SHA-1F61C4BBC76BFDE951A00350BB66FE1685887C361
SHA-256083709A5528E2AB0A0039A4C1D4F4E54ABF4C5728ECBD6835B6ED54506C5A702