Result for 813C29A69FEB6491E748BAADF917E57DE2D5C346

Query result

Key Value
FileName./usr/lib/R/site-library/CVST/Meta/hsearch.rds
FileSize772
MD50C6679F1960D2BFBDBFF82CFC95B109F
SHA-1813C29A69FEB6491E748BAADF917E57DE2D5C346
SHA-2561581F1A42A5673D80C10EA90CA96DECFFE3AF698E816620776660EA5D18755D1
SSDEEP12:XJv+2UnF1RuFrgeewEA42MvvwBVw8kfCcYN29qQttUR/jnuhb8xl2qad:XJn2RR4E72MHwBpmRtts/juhAyqW
TLSHT1720125342B791F75DF985529609C67C5BF750FD4210FC9283502C422C1D0AF71AD380E
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
FileSize53668
MD52649744344DFF3E0C30187B9E35325E4
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
PackageVersion0.2-1-1
SHA-1B6C0A948D80761FA728A2500B10E23B87CCF9679
SHA-2564B8CE3F35825B79C4E6FA49A545F97B8B63856F3C1BFE419389242C3DAAE1391