Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1823580
MD5	8684180F8575B7FEFF0EE164F74F5131
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	4.1-2-1
SHA-1	CA6BC6F93824739BAC6F6AC92D43D4774F1C943F
SHA-256	100E4891B64CA7035967B0DB768909D2D3132326E4A55B23DA1E3CB68FD0A434

Key	Value
FileSize	1820660
MD5	D925D09EE1BD36FD292ADE96FE596D20
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	4.1-2-1
SHA-1	51EFA388BA795A1AB6ED154216A4606490486AA4
SHA-256	33D35E6255A7E916CEDA20D3C6669931120645A766B5C612DB0FFC503CB954D5

Key	Value
FileSize	1820004
MD5	059153F0C6A33350CD0CE7DD8FD6FB35
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	4.1-2-1
SHA-1	AFE93990F6884FC4DEB901C6E6C7644380E955FF
SHA-256	3A1FD88E778DC13B3150B1E2EC8D36A7A036EC60B488B73C1000FABFE9238430

Key	Value
FileSize	1841008
MD5	BF96AFC583B92E7920387F033CC07223
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	4.1-2-1
SHA-1	F6363A1D5FA04FA00BA7C826A3DF6D4E8D99C499
SHA-256	8EAEEFAEF6186D245A3ED29268276CFFB2347AC4095E7AAEB1AAC21215740AE7

Key	Value
FileSize	1809332
MD5	07793E4A27D9ED2FF09BEFD737C9D207
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	4.1-2-1
SHA-1	6B706090536E321533ED8FF3957B4C575E0B4347
SHA-256	99C4E5F57E03A1C8736D254998F9FC53E287849526D0FE625B24B69EE93BA2AC

Key	Value
FileSize	1815844
MD5	F889720F655546A5488712542B6E91C8
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	4.1-2-1
SHA-1	A32CA3CB6820F38D76720435066EC753D510C6CA
SHA-256	E957A5530FD468EF41B3657857769C056710FA3B0EDA34D8F2419DEE175F72F0

Key	Value
FileSize	1823076
MD5	8A4E0D11AF1BC692F658C346E9521829
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	4.1-2-1
SHA-1	E17612D08955110E0616F76B2C032F2ACFFA5CF6
SHA-256	6EE53E0A5CE77D313BDEAC2A519D6482E65B327381C509CF2BE5B807AF132EB5

Key	Value
FileSize	1816124
MD5	8F82F0B43E7B3D6D2E8D1999FF431900
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	4.1-2-1
SHA-1	C63C7AB4D2D4CF579D28C096AF375E4A0CDA5EE8
SHA-256	04FE41B8B533A6FFD84BFCB82062582BD03C9316BAF4F0E2584BBD8B701589C1

Key	Value
FileSize	1829724
MD5	6C6F64DD34E1F17F3488F2A3A8189436
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	4.1-2-1
SHA-1	B64CAC41CF22E41E7AA951BB319333CE2950781B
SHA-256	A6831016F41F43EA641B73696A36E7808792F710E018279ACF0D4EBE6DAC1477