Result for 369335A6ABD7A2D93E70DA638D3317BA848F138E

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/R/glmnet.rdb
FileSize120866
MD5FBAF5D25C2670115A735FE05F38DFEDB
SHA-1369335A6ABD7A2D93E70DA638D3317BA848F138E
SHA-2562E7C7221607A5029120E86DCC6DEF4004E1ACD9BB06E4F3AD36D3E2FC0920B5E
SSDEEP1536:cjKj7K525vOjFRoUOj0SW1J0z9AFl/uCI8x7KT0+ifTpNVLKfubtYOsg8T66E0CU:c8KEA5Oj0F1EAZHjfTpNAuwnT6504pbI
TLSHT1ADC312D8B67B7D05AF1AC5FBF1A2014924E3DD333D4F90D5081DC1E9ABE966924420AC
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
FileSize1402608
MD5BFFBE1620A399E08C97E7C7F543CAAAC
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-1E6F30C23E5FBF2B45D9F2BDE55FA5EA8FE225B96
SHA-256F25A3DB790FC2529BA2B59BF0E7C34055167D6D5AB0C7205A3CBA986842E9848