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| FileSize | 1012 |
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| SHA-256 | 9BFD8A3E16E0FFCEC7FA3980BE8F30AB5810AD2CFBF07AA79E49EF33597E1180 |
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| TLSH | T1C711CC734125C71CC89B93E3B70A1319B7D8F704C6135BB37FA014644E05577E24996E |
| hashlookup:parent-total | 9 |
| hashlookup:trust | 95 |
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 |
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| Key | Value |
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| FileSize | 1820004 |
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| 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 |
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| Key | Value |
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| 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 |
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| 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 |
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| 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> |
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| 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> |
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| PackageMaintainer | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
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| PackageMaintainer | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
| PackageName | r-cran-glmnet |
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