Result for 04B756C4E18ED046D60CC412A2815FFFC9C572D5

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/Meta/package.rds
FileSize1087
MD56461527161561E5494F0494038DEC57E
SHA-104B756C4E18ED046D60CC412A2815FFFC9C572D5
SHA-256A7768A4DEA31473933950F26344A185AF49DB6FFE933CD9F689BCA1C69A2746C
SSDEEP24:XWHwke2OOzdln6J6wHZ9A+KgFMhW+8mUNNJFNpAzvFjABvz9Tg8:XawkeAl6J6a/K8myNBOLF81xTg8
TLSHT13E11866E57029696C500D27069978270C259BF61E1DFDE085144AB133A5B7B22C4074D
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
FileSize1572724
MD53B2B7AF3464C868CB02B24ED6FF50CBE
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-16BADA695A1CC8225D91069023183F2DB6C133371
SHA-256D32C4E1955DF7ECBF6106A6D80B46D33BF9FAB3FC781241A4CCA800FB1C49ECC