Result for 34C7C4829D88123EB124643C9A74F5B1BACEE4CF

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/libs/glmnet.so
FileSize268800
MD52260BF5A96B7542E50FAB7F3F23C86E0
SHA-134C7C4829D88123EB124643C9A74F5B1BACEE4CF
SHA-256770EA10502A00FC26827AC367CD3148B77E253DBE44A08B1FE2A92C2E07A0163
SSDEEP3072:sHlem+160PvxFHvbboWdEJ+ds+pK3/KtR2HBpg3dUUCmdpnsnJyBlZykdN7:4lemoxFH3oWy+L2H3giUdjnsnQp7
TLSHT1A944C3DBA960839AD4F0AC37D9D963B6972335392BE22F1C97D4CF72046B250350876B
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
FileSize1566690
MD56B89D5849E41A7A7FCAF949DD2AC5999
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-179AFFC077EA752B7F1B411A9BDEBDB7486135454
SHA-25699C4200BEC499A63637C181731F2044F6A3D0A35F770E39C244780281FA78A2C