Result for 638F3B527EA08A9EC55243546361CAA1066174D8

Query result

Key Value
FileName./usr/lib64/R/library/CVST/R/CVST.rdx
FileSize792
MD52524FB437B26FEC755C676C24ABB9AC0
SHA-1638F3B527EA08A9EC55243546361CAA1066174D8
SHA-256AF030BE52C9B5F493FDA79F4F4A2C978EF0DD172D01F5EEA469C566C00042764
SSDEEP12:X8JCySeyYubk3X9AYiVJ40EMBDbXxbaVcygH2+6Esax4C1uu06WzjYHmNjY9Vgvo:XOZYYl3CYiBEMBDLAhPEp1h0jXiSxOnp
TLSHT12501866594382418C3ABC9DD2072A2875AAD0D53AEBA0635216CB187C464932B70725C
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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