| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/hsearch.rds |
| FileSize | 2279 |
| MD5 | 33C1DF171669E4630E20C774A99D268B |
| SHA-1 | 23B3B146E4040D01E4E2801D49EF555514AE5365 |
| SHA-256 | A1FF5A26C2C62189F9B3828D3E03D56229197E6D6A9390956C95F7820C04D21A |
| SSDEEP | 48:Xz+uEQEzE63gm9xLUPZLSQvqdHB1XgaStAQZERk6kADVCOQNeQMUyKmgCe8qdJs4:DkQqEyZ9hUPZLS4qlB12tAsEO6D4O1Qd |
| TLSH | T1334109A9DFFF08405AA63DE42C9A4BB5CF6467632FC5B826DCDD3908114CBC64697C80 |
| 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 | 1777292 |
| MD5 | D6DAF84F324F3265D49A2842E01A8A7B |
| 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 |
| SHA-1 | 3789845F0DFF284065234D1A236D9697FC997A8E |
| SHA-256 | 871934825BA7C6033904FA8633E793B46AE5BD564A2922708DC1117A5854DAE1 |
| 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 |
| PackageVersion | 4.1-2 |
| SHA-1 | E6632E19957265A1A266A9E37C6EBECA6C1E6E6F |
| SHA-256 | E68D2ACFB1F7AE2CC473521474D4282D731F9C1C5BB40D7519F4FCF0E380816B |
| Key | Value |
|---|---|
| FileSize | 1782212 |
| MD5 | C05E459AD1EDED67CCD956813A503529 |
| 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 | E765A9A49734B2F8DD57DE91B7358214C6772B20 |
| SHA-256 | 7996C19E83A43A818DD0D6489B12BC243D358F82D3AED92451B4392DC2E17B7D |
| Key | Value |
|---|---|
| FileSize | 1782936 |
| MD5 | A95EC865448CF36EA5F2E44CCD3A6E70 |
| 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 | 2D8FF03F8FD5D29923A1236B670B33AFD7C33DD5 |
| SHA-256 | 96D94CC49D85CC4D8667B8920C0F071F60F8DAE9840A76F964D4F3B5A851E6B2 |
| Key | Value |
|---|---|
| FileSize | 1784572 |
| MD5 | 865BE0E276B721CCAB6ECAE06D652A39 |
| 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 | 2B9D5C7977E69C0375FBEBECC1A9D377E1048D47 |
| SHA-256 | 827BE2B261B783CDF483E6B488512B1D3A9EDB35B73D592624E5C9EC94FF3547 |
| Key | Value |
|---|---|
| FileSize | 1776492 |
| MD5 | 1B874660D62FA4AB1A06AF99CD72550F |
| 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 | B411FC29B5881D8A275D1DBD16B58EA4C6BAAEC5 |
| SHA-256 | BB6B59CEC048CC42CB26D0E81AA32492F687D3ECDECAAE784BAF1E4ABAA39B16 |
| Key | Value |
|---|---|
| FileSize | 1790636 |
| MD5 | 0FDDF512F1FA49E1C58B6B0642246758 |
| 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 | 503CCC991AA0BDEAB2E66CCD239093B948761A71 |
| SHA-256 | 32FB520FDDE1FE9B438CDD7539605714C13B84776763A3DCB2C3E48F64E85BD3 |
| Key | Value |
|---|---|
| FileSize | 1801916 |
| MD5 | 3302DC2AF988BD50D171112B1BF7381A |
| 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 | B89E84EB36581C861DEA21EE704122D8DDE1C17C |
| SHA-256 | 42C96BE12DA81C761D805F3E753B0711EB576AE7BA0C8133F1A89DC7229E789B |
| Key | Value |
|---|---|
| FileSize | 1777680 |
| MD5 | D2D31253673425EF5760936999E9622E |
| 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 | 4.1-2 |
| SHA-1 | 6E6D70092464B3D26A65561E29824ECEBF79DDF4 |
| SHA-256 | 93204997EC5CCA41B1CA2485DF218F0961D61B561315B634965EE551EDB32F1C |