Result for 23FC9A8DE18C5D4B9688A553AC183B3E105A3C03

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/glmnet.rdb
FileSize57285
MD584DD46B53267359959E9A509CCAACAEF
SHA-123FC9A8DE18C5D4B9688A553AC183B3E105A3C03
SHA-2569AD9CE7220A54D40BE1C0F3213B4409A9E69EC7632DD13FA3B13AB1741AEBE1C
SSDEEP1536:ViKXCMZubE8P6+bv033CNHO+FNNe3GEIpOT/aVNyu8cj:ViKXuTpv033CEge3GaJpcj
TLSHT1E24302B787291F4C1B4AE4350E5B28A4805CD7A7F4EA032C5240E6D6E82935FE6B764B
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
FileSize1566690
MD56B89D5849E41A7A7FCAF949DD2AC5999
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-179AFFC077EA752B7F1B411A9BDEBDB7486135454
SHA-25699C4200BEC499A63637C181731F2044F6A3D0A35F770E39C244780281FA78A2C