Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1426652
MD5	474FE11B21DEFC08868C007ADE887FEF
PackageDescription	Lasso 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.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-16-2
SHA-1	227E4606FD1F2DEBA47221E35E596C409B04CFCD
SHA-256	5CFB05E5A69412AA780DC3464C922C4472C5DDD005812358DDD1F37F678427FB

Key	Value
FileSize	1410876
MD5	5C7981BCAB1CCD928171B5DCDDE1DF96
PackageDescription	Lasso 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.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-16-2
SHA-1	339E33B3B64D4C30D67735C72EE9637D4BD38491
SHA-256	C4A48DF861962D6F12123B9750C2A91A3A098206C7EF5090E7B7EA0E06C18F2B

Key	Value
FileSize	1424288
MD5	5150E710168FBA9468C4D531224D271F
PackageDescription	Lasso 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.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-16-2
SHA-1	06B5C2B44BC66480C4D15A7D3CA46DA0E39D4045
SHA-256	580D90130FA1CE3C9FD9E2CF04BB667E34C811B4AC6C76D9C36F96EB73BC5A17

Key	Value
FileSize	1411792
MD5	ACAB6518E7F5A0EB744528F201D21EB3
PackageDescription	Lasso 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.
PackageMaintainer	Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-16-2
SHA-1	C70471ACCF3F0A80E8C4C81303F38019BA862F55
SHA-256	112E2BCF5AF6938F32D7EC4191094E3F4D3F338A7BAEA4FF9F687172C6D6BEE9