Result for 09EB3BECA9C0D9DA5D9F22E5732B2F7CD2C8F52E

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/glmnet.rdx
FileSize417
MD5891D5603A427B972BBAC01EEF24C40EC
SHA-109EB3BECA9C0D9DA5D9F22E5732B2F7CD2C8F52E
SHA-256B97AA0BD8EA73FE73809508628CC5EA9FCA407569597B844C563617E481EB747
SSDEEP12:X/4oG0j1qJWA6DGfQK3h+dTIIOIg2un9l:X/4V0gglDGfB3h+CXl
TLSHT1ADE0A3719959457D5D1C3FF650D0684446557E648D128153C6CB3917C58827D21950D7
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
FileSize1573324
MD53CFDBA7DE5B7FFE3D0AF9A08F4EE70CF
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-1DE55CF707F0A1260DE162CED023858D16EAF3836
SHA-256ED61A077F6F95DB76C807A121AD722EC6A9D4268330DF4CFE59307B78371D414