Result for 6BD5E121D90D395FC46F57A6AA0B1E46E41EE6BB

Query result

Key Value
FileName./usr/lib/R/site-library/CVST/help/CVST.rdx
FileSize433
MD57E06274635793AA21BED130BDCF1746A
SHA-16BD5E121D90D395FC46F57A6AA0B1E46E41EE6BB
SHA-256B75CB2330DB651C68F21E47163866B58E4877692FE810C8CD61CBEC0D29AC76A
SSDEEP12:Xde0JtFVlVvnNca03ALpU8YRHXhtpYZHl4pO5MuEXn:XdFJtDPvNLNpU8YRHXPpAH0WMuEX
TLSHT1B2E023D424B1049B942D28BA7F17733E800557313433B4CD883A42D60322D9A14B0BA2
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
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