Result for 1F5FF80F0FD05D85A4E80C18850EABB44EE21F30

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/AnIndex
FileSize2668
MD55030C45A9D6CA7B9D046B906BF928467
SHA-11F5FF80F0FD05D85A4E80C18850EABB44EE21F30
SHA-2567F6D73D76B956C061861B29639808B9A5CC7C46977F0BE6DD95E5FFF9B642C14
SSDEEP48:4aEwrbrnD9B67UqZkGSmLmoU9RpO6GQ/PVpsx3Q/:4O673kLmD8jGQXVp9/
TLSHT1C651C3F6683B8829B48B1DF8C3A3D261AB91893742F7F9C5D51CA325519201DB47EE48
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
FileSize1424732
MD52732995E4E007A6EBE89E3DF59032EB4
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-glmnet
PackageSectiongnu-r
PackageVersion3.0-2-1
SHA-1E243066A3C67064AB3E8582D9E3BB20A87A9CADB
SHA-2566ACCDD4CEAA34B0F26C88EC0C2BDA03B6500CE4ED59174A9DBD28F70CDFD7DF4