Parents (Total: 10)

The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1560496
MD5	49E54FBCCC9E416B3A765468FC8C2FCF
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	6A3B8ABB60F740F63CD86B0A2A002759FFD5612C
SHA-256	04203B968767E1DE11DF7CB19289CB3110E7D32B887AA047DDC3752F947C76D1

Key	Value
FileSize	1577852
MD5	521E25BADFAC5BE24E54CCF1189A5BE2
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	E730C89B15F19CEA80BA5DBC34AEFF060AAFC239
SHA-256	81273244099AF043D34410509E42535C19635DFFBFAC9E5C43D1C6760026F8AD

Key	Value
FileSize	1572724
MD5	3B2B7AF3464C868CB02B24ED6FF50CBE
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	6BADA695A1CC8225D91069023183F2DB6C133371
SHA-256	D32C4E1955DF7ECBF6106A6D80B46D33BF9FAB3FC781241A4CCA800FB1C49ECC

Key	Value
FileSize	1573554
MD5	7A3291F17EC2B9EB21C413759AA8D01E
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	08747630510E29644B3770496DAB9DE9E7B4B88A
SHA-256	361831713A49595EDB1DFCC91500952A2B7B60937609654DE093FE86F4985CF4

Key	Value
FileSize	1582602
MD5	731240A30DFC687E31B04A607D37D363
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	F88864093E0183332979F8E2EB0BE8C8BD225790
SHA-256	590E0F410FEFB758A4BFB2B45309A85C51414DCFA58C4843898A79054A904467

Key	Value
FileSize	1573324
MD5	3CFDBA7DE5B7FFE3D0AF9A08F4EE70CF
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	DE55CF707F0A1260DE162CED023858D16EAF3836
SHA-256	ED61A077F6F95DB76C807A121AD722EC6A9D4268330DF4CFE59307B78371D414

Key	Value
FileSize	1566658
MD5	29FD6BEA34DC5DF4E73BC0D4A15B96C2
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	F2E822977DBCB21BF5F8E2A66899C8057168496B
SHA-256	924BE32B3D19EE1144394E4F4705C401039BB5413935E64D889B17F471C70A17

Key	Value
FileSize	1563746
MD5	B127F6A6D22CD04A357A843EA999F9CA
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	2A50FE6A35D00171A966DBBAFCE42A368A614F51
SHA-256	169DC25484E5488BF8141657149A49DCB011A8EAE2EA569886DB528C90E31930

Key	Value
FileSize	1566690
MD5	6B89D5849E41A7A7FCAF949DD2AC5999
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	79AFFC077EA752B7F1B411A9BDEBDB7486135454
SHA-256	99C4200BEC499A63637C181731F2044F6A3D0A35F770E39C244780281FA78A2C

Key	Value
FileSize	1571342
MD5	AE2F30DA386F7A7261D94DCAC066A0C9
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 Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageName	r-cran-glmnet
PackageSection	gnu-r
PackageVersion	2.0-5-1
SHA-1	B0AA6988674CB6DB150CBE5AEFEA0F06EF22F96A
SHA-256	4424FA114A7CFCF51ADE5B69FA2C7B18D445AA8E9BA0814A514BB77439FB21EE