Result for 304FE1CED825D79A8199BD52EA6ABB4F41C2CEED

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/paths.rds
FileSize488
MD5EF045F1C0105182E88F216D2CBB7C014
SHA-1304FE1CED825D79A8199BD52EA6ABB4F41C2CEED
SHA-2563BDAC815DE08E435C942C409068AE62DC18A724FBB38DED1F3E53C371163BA38
SSDEEP6:Xt8NZjW4wf+fnQNe6NlYJO676eqvb7uo2z9AFkVcJOjIJy4AIsqfICuucD5XnaMA:XmNQ4qgnudEqndISFoPz4AExcR9L19Le
TLSHT14BF05448E3388984EBB51DB4A3DB61300B91B01B75E06783F02D4A97D8CFE0C84ECC91
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize1782212
MD5C05E459AD1EDED67CCD956813A503529
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
SHA-1E765A9A49734B2F8DD57DE91B7358214C6772B20
SHA-2567996C19E83A43A818DD0D6489B12BC243D358F82D3AED92451B4392DC2E17B7D