Result for 17187B9BD30EF8045D185AC6BDE89088D7836328

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/doc/glmnetFamily.Rmd
FileSize13151
MD5D48173FCFB4A94406D39C8105447DA3F
SHA-117187B9BD30EF8045D185AC6BDE89088D7836328
SHA-256009B0EFBB05BCE3F02B389A6F8F87F39D7A5DAA6127D5824216D6A84D0C9D99F
SSDEEP192:ePrcvXQiEl7q1pXRsbMbj7+Y9H6ihr5Fx6Ya1QiKOlL3sXi2kbd0oye0u4ZgcM:lAHqDXaI+Y16WFx6z1TVsS2kbdUe5vT
TLSHT14142C777630523B736C31973A75B11D69B2506BCA2E394D134AD8B38230AA3D97BB7C4
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
FileSize1683136
MD51A2BC2CAB71BAF9E56C9E4A1DB6FA4D3
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-glmnet
PackageSectiongnu-r
PackageVersion4.0-2-1
SHA-1FE6FC967714C288699A078BFA4602A5EBD213FD5
SHA-2567A499233B4BF3737408293D507BDA3574DDCACB95647A2881D26C5C2902E5EB1