Result for 317B1B2586B920483E78D29DF6B35B014C7DDC9D

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/Meta/package.rds
FileSize1134
MD5B1E7ACA5F866736AB05CDCD937ADAB7A
SHA-1317B1B2586B920483E78D29DF6B35B014C7DDC9D
SHA-256DB52266D5758211CC71283E14E9137AAD84E44C8E513BF543BA4BF187DC148DD
SSDEEP24:X5NInBftmSaSJB/yHGRxEHzyG6tukNpzNrVci8/Pr3a2n:XgnBfYwJ1rRxEHzyNwk/hT8/Prq2
TLSHT11321B947E90307EFEABC536252FA0E29B3DC6768D42536DBFBB91541531005B627C017
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
FileSize1414532
MD5FF0F1683D05757C2F6EABB5BD721249D
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-glmnet
PackageSectiongnu-r
PackageVersion2.0-16-2
SHA-132A6D329D3F28389C5352CD2A8B83E09019BB014
SHA-256E9DDE392D256597D946D71AC5B27D4BCCD3F0449FFFD59F9E5D5F7975017E0EE