Result for 1A078037C8F634C0B5309CC893ACF672C64216C8

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/paths.rds
FileSize219
MD56586F99C037D9DFCB37BA87BA0409A72
SHA-11A078037C8F634C0B5309CC893ACF672C64216C8
SHA-256C101D224D05B592FF6014873E432007CD19B2C20098EE04B2DC08ECD1FDEE23E
SSDEEP3:FttRmLIzd/j9iPPLv5ZKm2CEY6YNzH64Vl3QL0t5YAiyh2RwiTDqmrvoldSWn:XtsLAUtZKzYN/t40XYAjSPqmDEn
TLSHT17FD023794400041EEC4143300FD0018B5F5571F14D1E7E6306881473D6151BA07D2A54
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