| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/hsearch.rds |
| FileSize | 1005 |
| MD5 | B53CAFD956644826B04F221340EC1245 |
| SHA-1 | 0DCF31311CB5DCA340AF86999FA7588C2625573C |
| SHA-256 | FD390CC5FC66B2DC5F7C55A4DB7111BCFEA3BD96D84E6ED24AC4FA12FEA37BF6 |
| SSDEEP | 24:XcHR3P0BpZlfMXAJMvbL2akbiJGU81dpvCp:XnBpZlUX9bL5JGxpa |
| TLSH | T1CC1108AFC1380BC0ED01613ABC2A8D82428D2BC30543CACA04A68C4B7F2436DD25A1FF |
| hashlookup:parent-total | 10 |
| hashlookup:trust | 100 |
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 | 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 | 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 | 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 |