| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/INDEX |
| FileSize | 1687 |
| MD5 | EBAB1ED119E67D15A8BA44DAFAE6365C |
| SHA-1 | 3669DB6FBA27E9ACE640E8623B7163B6EC2A357D |
| SHA-256 | F13D415C0AC76E64280B83945543025677A3B7E0E851A65A94306A6AC347D5B5 |
| SSDEEP | 24:YmIRnFfUQn2Q2h3hJXbe+YUq34gzTGilNFtcXCA3GrqvmLdgkBRBTJBrn:z2VUQe3hJLpYBzTGilNFe2GHgnTrn |
| TLSH | T1CD310EC29036CF7086174CD5C2870842B76AD25296C3A4CD73ADDB805783B1DF8497D8 |
| 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 | 1424732 |
| MD5 | 2732995E4E007A6EBE89E3DF59032EB4 |
| 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 | 3.0-2-1 |
| SHA-1 | E243066A3C67064AB3E8582D9E3BB20A87A9CADB |
| SHA-256 | 6ACCDD4CEAA34B0F26C88EC0C2BDA03B6500CE4ED59174A9DBD28F70CDFD7DF4 |