Result for 1790BEA3B376EA8D2042186362D45774C92BCB63

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/R/glmnet.rdx
FileSize908
MD56CF50F775C03A01138D3EE3F9788BF3E
SHA-11790BEA3B376EA8D2042186362D45774C92BCB63
SHA-256E41EF56AAF5C814708808BA166E9BDD9A65334F8D687D2E381BA0515D7645409
SSDEEP24:XcY44SqVSWEwltqBWCEn4hfedEYM1wWcOrbl3b7S3FX04:X34QVMwqBWCE4h+EY6cIbFHwFXr
TLSHT1C511B7859071C9829AD8E2B9BC322BCDF02811E407003F58F1953534A50723EC3BDA28
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
FileSize1573324
MD53CFDBA7DE5B7FFE3D0AF9A08F4EE70CF
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-1DE55CF707F0A1260DE162CED023858D16EAF3836
SHA-256ED61A077F6F95DB76C807A121AD722EC6A9D4268330DF4CFE59307B78371D414