Result for 258EF88AB40B7483710017ACE61730962AFEB62D

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/Meta/package.rds
FileSize1596
MD55379AE4D303AE61ED4B85F6464EE6E0F
SHA-1258EF88AB40B7483710017ACE61730962AFEB62D
SHA-2564D2C685A9C444EB3EED7E2B580639B7412AD90DA999FB6ACA5BC5EE732842067
SSDEEP24:XTk3LCsFaKlSjSV0WH2DrbQqBagaOnOVoTBmr5AkBO/nDs3Bq55ZNvj/YPKWuBsm:XT2PVQnOKr773Uiu5ciBq5HxjAPKH3
TLSHT14331C6B1A0744D775A7AB9A90AC512F084EFC889CCC6A5C2B8292196B704AAC690F19C
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
FileSize1809332
MD507793E4A27D9ED2FF09BEFD737C9D207
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-16B706090536E321533ED8FF3957B4C575E0B4347
SHA-25699C4E5F57E03A1C8736D254998F9FC53E287849526D0FE625B24B69EE93BA2AC