Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/doc/Coxnet.pdf |
FileSize | 99160 |
MD5 | B93977CFD7EDB18AA6D6DAB4E522C823 |
SHA-1 | 2FA874EE6E68D66FCBAF0F8BD484BB98D172AC17 |
SHA-256 | DB616069B5589B85913AADD6E30FD1B0E62A1C04A9E2C098385AB2F9C6C45BFF |
SSDEEP | 1536:ZfpGi0TnIt7NvTFa7W8briy3z1zrS13kFQfW73DvMmk8LuXS3Gy021Wz+d4t:Z8zTn+auM1zrlQe7DvMmk8iC3GyxoKdO |
TLSH | T1E1A312A9A256196CC82AD2F3A90D98F11263E350EF004D965C8E5B371FF9F360575371 |
hashlookup:parent-total | 12 |
hashlookup:trust | 100 |
The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:
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 | 1338136 |
MD5 | 62423AA084649E7BF964CB9081E863E7 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 2.0-16-1 |
SHA-1 | B28DCA2C6DB1C97D2A6F5531E00C0FB66CC2CF44 |
SHA-256 | 3136BF3715C52A9782B23D1BE1385C9FE5AE38E4FD417F73C21E5B99E3972766 |
Key | Value |
---|---|
FileSize | 1414532 |
MD5 | FF0F1683D05757C2F6EABB5BD721249D |
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 | 32A6D329D3F28389C5352CD2A8B83E09019BB014 |
SHA-256 | E9DDE392D256597D946D71AC5B27D4BCCD3F0449FFFD59F9E5D5F7975017E0EE |
Key | Value |
---|---|
FileSize | 1417892 |
MD5 | C014389D2ADC56DA2A4CD41E2924EB9B |
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 | 550E3BADDB30F42E8258CEA2D3350569738B75BB |
SHA-256 | 85E421A3442847BCA1790A457C133AFD9B43929F070958F5665C58716BE9654F |
Key | Value |
---|---|
FileSize | 1402608 |
MD5 | BFFBE1620A399E08C97E7C7F543CAAAC |
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 | E6F30C23E5FBF2B45D9F2BDE55FA5EA8FE225B96 |
SHA-256 | F25A3DB790FC2529BA2B59BF0E7C34055167D6D5AB0C7205A3CBA986842E9848 |
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 | 1409784 |
MD5 | B33099BD5EC8800B726C2DBADA198152 |
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 | E65C4E0394794E44D52E8BD6CE0CFB1648B7B577 |
SHA-256 | 7BB692F50319B507A3F33C72AF0B99BD5E7AF65EE2304A864FB888028D9DDCDF |
Key | Value |
---|---|
FileSize | 1329976 |
MD5 | 16191CFABA77CFAAA14EFD7455BAB056 |
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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 2.0-16-1 |
SHA-1 | F235445591F95A15949BAC9CABC11BD3EE343F3C |
SHA-256 | 767692011A29798745170002F1A3EBC85D63CB5DFD2FBC079FB96CA400B7C9F3 |
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 | 1414504 |
MD5 | 2703BB99AB1BCEA12E294DAB11525361 |
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 | F48337B216BEA047464899B81854BD5A7E4DBBBE |
SHA-256 | BACF395B54C4BD745DA9CA49C2F15C9A1E42E72E7CBF4D692655AFEB4E150CD0 |
Key | Value |
---|---|
FileSize | 1415504 |
MD5 | FCD47DF7C0B9CA8F733C2C7B8901C2D2 |
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 | 68120B5717E7BAD852CBE44523B3BE4649E08702 |
SHA-256 | C7232CAE604E3C4C3811992F6E0B248724B08156DBAE15AF1EE952926AD05658 |
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 |