Result for 383CF8715973D5CF91F40F4A60645796FCFEF51D

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/libs/glmnet.so
FileSize264584
MD523472F86B0B7D4000F5BAFECD600B620
SHA-1383CF8715973D5CF91F40F4A60645796FCFEF51D
SHA-256B7D67EA28F6A7969996BBD8B88FC9DAA1091E0D1E609E947ACEE669D14EA0FAF
SSDEEP3072:UgxPglxOwItwifKz2MaIK/x5ESkQbwMhkMsEKblfko/:jRw9ISifU2+K/xeSPkMcxD
TLSHT134447D163F4C4E56E7405C7787DFAC6032C23D5A0638D9E3DAA8431BAEA4A1D4F57C8A
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
FileSize1572724
MD53B2B7AF3464C868CB02B24ED6FF50CBE
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-16BADA695A1CC8225D91069023183F2DB6C133371
SHA-256D32C4E1955DF7ECBF6106A6D80B46D33BF9FAB3FC781241A4CCA800FB1C49ECC