Result for 010EA24BEEDA6DE6E2F78F9B3A7466994C8C6D08

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/glmnet.rdx
FileSize421
MD56CD220305ECEFE5BB56ED8F7A9A6E032
SHA-1010EA24BEEDA6DE6E2F78F9B3A7466994C8C6D08
SHA-256A6374F7F515B6A5DDA38EB0C649CB3006DD54AB250334BCC877CD820C25F86DE
SSDEEP12:X/OhB+7v8q2aWoy0OayeyJgFFNZhcoa78p:X/O+j72aWoy0OaBFb9a78
TLSHT11CE0AB04641A0028DB1BCE3187E6E12294DB8CC293A9B98B862CA8113C0857278A58BB
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