| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/help/glmnet.rdb |
| FileSize | 57975 |
| MD5 | 9EE96015F3E53F7F77C6C03E519E4506 |
| SHA-1 | 3CB4C4A3367DACA9913C1F1279F3BFCB13AEC480 |
| SHA-256 | 8A3F3D92C5C08858DD1E84F633501A82C57B80BF1DB739F41142D81B64728913 |
| SSDEEP | 1536:2GNhODLvEveBLAMmIf0hksXQX1ZjaQNEVjXw7NybVoy:2qm8wkMZ0hk39NEVjXCNyb/ |
| TLSH | T12B4302B731EA86590D4A8D525BB5CDF0C1E9950139A1E35F8FB4D9D28BC184F83392CD |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| 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 |