Result for 09903DE97F371B11C5648F39A10D0F7EF862FD33

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/Meta/package.rds
FileSize1085
MD55FA0AE51E40C4BC1B3BEFA38C4A3B4BB
SHA-109903DE97F371B11C5648F39A10D0F7EF862FD33
SHA-256B3C98CFACA275E160B747E43D9C1F3C9D949B4EC3517962CE680C8E5758DA290
SSDEEP24:X4D64EGTWclirDoi83HnctLWmko9knt4cfVsaquVtzNfHcP2zUDphn+G:X4pAXol3HctLW9Okn2cddNtzNa2qjn+G
TLSHT13B11B6B473A46D09D2B55D7B9855B3ED8BBAB38605FD6E2428E70095B9D8C21087088C
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
FileSize1573324
MD53CFDBA7DE5B7FFE3D0AF9A08F4EE70CF
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-1DE55CF707F0A1260DE162CED023858D16EAF3836
SHA-256ED61A077F6F95DB76C807A121AD722EC6A9D4268330DF4CFE59307B78371D414