Result for 3DFDBF08F3FCD73DD0FA8B6935446E095EE1ACE5

Query result

Key Value
FileName./usr/lib64/R/library/LassoBacktracking/R/LassoBacktracking.rdx
FileSize530
MD5623F3928E6001E815CF1657BF62FA7A6
SHA-13DFDBF08F3FCD73DD0FA8B6935446E095EE1ACE5
SHA-256ED4971AE721CAD7F619820F433E639F92FF00AA6E380AB8805C053E3FD307AC0
SSDEEP12:XfAHc5w124XZzYtHjXHH9c0hwWTp2pGghkzxEtJQ8eQVApBr2opn:XfE66ZzKHDn97VpySzxnQVAdn
TLSHT12AF020A9C0090C8EF23015F8CF705E3ACCDCCB1E4668B151A38A684CB109274CC28B5F
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
MD596F101A9268EC58EDF785558BA149048
PackageArchx86_64
PackageDescriptionImplementation of the algorithm introduced in Shah, R. D. (2016) <http://www.jmlr.org/papers/volume17/13-515/13-515.pdf>. Data with thousands of predictors can be handled. The algorithm performs sequential Lasso fits on design matrices containing increasing sets of candidate interactions. Previous fits are used to greatly speed up subsequent fits so the algorithm is very efficient.
PackageMaintainerhttps://www.suse.com/
PackageNameR-LassoBacktracking
PackageReleaselp154.2.1
PackageVersion0.1.2
SHA-100098FB3933A291D2F4962355806959F77BE7F37
SHA-256FC538C14B1F6B3ACD1229797AF7E7E6C258E52476758EA74BC4C3FCFA39A3858