Result for 2FF995F95B53BC2FB543AE19794EDA6DCEA9EC68

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/glmnet.rdb
FileSize171409
MD53F01F1E1AD3022501065BD2D78ED7B94
SHA-12FF995F95B53BC2FB543AE19794EDA6DCEA9EC68
SHA-256EC3DEED919AAEF12A741B558D83C781E1884390D991CA36D6EAF98E8C69EBCD4
SSDEEP3072:4cXh8YrOj6rrF3ZHpxmVTuDhcGqAY0qYNq3ewopXn8gw26ET:LR8CG6pZJxmVTuDNTCYNuehse
TLSHT1A6F3123C6C628935B1310B1A66344631E1E7A68EB375C1B73532F5122C7CF9378AE57A
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
FileSize1816124
MD58F82F0B43E7B3D6D2E8D1999FF431900
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-glmnet
PackageSectiongnu-r
PackageVersion4.1-2-1
SHA-1C63C7AB4D2D4CF579D28C096AF375E4A0CDA5EE8
SHA-25604FE41B8B533A6FFD84BFCB82062582BD03C9316BAF4F0E2584BBD8B701589C1