Result for 39D3252E314B1B8C4700C69432577CB726DF0F8A

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/paths.rds
FileSize218
MD5B0C428B1D02F1364B67F7F0235A8FB9D
SHA-139D3252E314B1B8C4700C69432577CB726DF0F8A
SHA-25683B8B4C863D3901240FE1424A2C47BA12CEC3EC16560DBFC5B537C1851B822FF
SSDEEP3:FttRJEfw7HL8IPJggnlrJvMPhPCkaTKr+rZxrkBA17zNnhFPTXm8TqOKY+stRnYo:Xtg4MIPJjlr5MJZaTXx0o7lV1z+wRKw/
TLSHT176D0A752B4324452805480FD02A62894D3F975595619C478AB8D0404070AAD6178751D
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
FileSize1563746
MD5B127F6A6D22CD04A357A843EA999F9CA
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-12A50FE6A35D00171A966DBBAFCE42A368A614F51
SHA-256169DC25484E5488BF8141657149A49DCB011A8EAE2EA569886DB528C90E31930