| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/R/glmnet.rdb |
| FileSize | 42765 |
| MD5 | 324CCEFB8C5BCAD0AB4A44D2F9DF2CDA |
| SHA-1 | 2F035ABA0CA832D8102BEC801420BFAACB752F04 |
| SHA-256 | 15153F68724328626C17450A0480E7AF7408919A224FC97B4AF4DBAD47141DDC |
| SSDEEP | 768:gGXrVsYxH+h45lLiPzRVR70/lLYwW/VHxHGsxRHLmfh9TLsM:gGhTxFjwPp0/1YXJxHGsxIn |
| TLSH | T1C713026D27D6E41587DCC517A3FCDB4396270EE80DE480C189A1E1BC09AB80DFD9B18E |
| 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 |