Result for 0793A8DB43D3AED8E5AED79B7560FCD6C4A73606

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/help/glmnet.rdb
FileSize57275
MD56B8175F41AE736F7F07C4116A90282FF
SHA-10793A8DB43D3AED8E5AED79B7560FCD6C4A73606
SHA-256A78EDDF8E35539AB1156C7E70B0812E2CACCEF82C447579A56FD8C27B181329D
SSDEEP1536:tm0soeFZf3OQAn7eL01t2lVym6EojL3hBDD9A:tmpoe3fO7qS86EojL3hx+
TLSHT104430163643690189CD4164B08B439D891B59C0A3738FE42CB4ED8DB98A4AFF9D3B758
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
FileSize1563746
MD5B127F6A6D22CD04A357A843EA999F9CA
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-12A50FE6A35D00171A966DBBAFCE42A368A614F51
SHA-256169DC25484E5488BF8141657149A49DCB011A8EAE2EA569886DB528C90E31930