Result for 39D9D4A07085A0F85929A3FC11A47BCD0E475835

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/glmnet.rdb
FileSize171370
MD56F5B33A3FD96F52B010AEE31448E14D2
SHA-139D9D4A07085A0F85929A3FC11A47BCD0E475835
SHA-256BBAB7BC196B6140C1592387CF2FAD6171500271D7A504AB22880B7C7BB71CADD
SSDEEP3072:/jMk8Ob224FVbFti0qVocCxvUIlv3L3AY0qN39lV55RLVrm81Y7w0:wLOdcbrPqGxBtlvMCNfMs4
TLSHT1BEF3120C659A5D49C5653C05FA1D333294D331DEF3A8A2F62438CA06B9F2F73A8DC529
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
FileSize1820660
MD5D925D09EE1BD36FD292ADE96FE596D20
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
PackageVersion4.1-2-1
SHA-151EFA388BA795A1AB6ED154216A4606490486AA4
SHA-25633D35E6255A7E916CEDA20D3C6669931120645A766B5C612DB0FFC503CB954D5