Result for 38AFE8FDAF07C2FAB66B1E8571DA55F41BBB7334

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/R/glmnet.rdb
FileSize40073
MD5A3D590E32771D15FA35506C4B0095EDE
SHA-138AFE8FDAF07C2FAB66B1E8571DA55F41BBB7334
SHA-256C0238A890FCDA6DC47FB785DF3F32943BB5A1BEA7B5F508B9B6C01A77A5A95C1
SSDEEP768:xCoRjAnVE3a2JnOWrJyBwxNH/vrUS8hmWq3xiXo8pTAkbA:lAnVE3dJnO+4BCd3AmWqhitugA
TLSHT18603F1C7F23894A40136A0578F92FED5F76D186526647BC61A23C3E853A0DD2DBE827C
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
FileSize1577852
MD5521E25BADFAC5BE24E54CCF1189A5BE2
PackageDescriptionLasso and Elastic-Net Regularized Generalized Linear Models Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-glmnet
PackageSectiongnu-r
PackageVersion2.0-5-1
SHA-1E730C89B15F19CEA80BA5DBC34AEFF060AAFC239
SHA-25681273244099AF043D34410509E42535C19635DFFBFAC9E5C43D1C6760026F8AD