| Key | Value |
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| FileSize | 308 |
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| SHA-256 | F63A2FBEAADAC99447364D876153E852627982F56F87E30F3BEA0D688067A44F |
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| TLSH | T1C8E07D99C156C8C0D649C9BFF6E1E8AC52BE28FB41D914C40C46D942CA6E49A1B6A42C |
| hashlookup:parent-total | 11 |
| hashlookup:trust | 100 |
The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 1777292 |
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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 |
| SHA-1 | BDF70762F0EB0B6C297DBFECF273FB21C5FB1FD4 |
| SHA-256 | AA5B861CD50CEFC3BE62FFE585569BCB7D74C0C5A3AE1AFB62C966F7233DE1C6 |
| Key | Value |
|---|---|
| FileSize | 1771080 |
| MD5 | C660FC0A571F7EB1DCEE6E59A0DA8E84 |
| 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 |
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| Key | Value |
|---|---|
| FileSize | 1785236 |
| MD5 | 6B87943DC40F7CD31FD78A5EA535CEFC |
| 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 |
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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> |
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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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
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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> |
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| PackageMaintainer | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
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| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
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