Result for 10F74AA6CE600E4F4C44C2FC74AF539207AF1177

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/R/glmnet.rdb
FileSize40087
MD518E4A8F4B2A115C50DC73D2002DC6916
SHA-110F74AA6CE600E4F4C44C2FC74AF539207AF1177
SHA-2567495E1DD624578DDB6DDE27783AC37D1EC11B3F5AFA60D1BE5517A8B60CCD508
SSDEEP768:x924XvVE3a2JnOWrJyBwxNH/vrUS8hmWq3xiXo8pTAkbA:O0VE3dJnO+4BCd3AmWqhitugA
TLSHT17903E1D2E238D4984336A1578BD5F991F7AD145122A1BBC60923C3E817A48C5DFFC62D
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
FileSize1573554
MD57A3291F17EC2B9EB21C413759AA8D01E
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-108747630510E29644B3770496DAB9DE9E7B4B88A
SHA-256361831713A49595EDB1DFCC91500952A2B7B60937609654DE093FE86F4985CF4