| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/glmnet/R/glmnet.rdx |
| FileSize | 987 |
| MD5 | 49D84899BBF61FC8E44C2E0C4F0D87B0 |
| SHA-1 | 14456C768C1B3AAF72A0938A0933187121EA9ACE |
| SHA-256 | BACC18EF3330E0E122B757FD1A823598AB9C375463461CDDA0471D6F46677CC4 |
| SSDEEP | 24:XiOhCiJZ9NYM/1jdJbcxjSxiPsGRI5fpK97999y8:XbhRTYEXxiPLI5fpKZD |
| TLSH | T13311A85BD8D23D75C205E1251C43EC53C80759E12E23E2743714383554C81EEB9A59F8 |
| 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 |
|---|---|
| MD5 | F771A4532EBC20E41886CE036F74B0FF |
| PackageArch | x86_64 |
| PackageDescription | 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 regression. The algorithm uses cyclical coordinate descent in a path-wise fashion. |
| PackageName | R-glmnet |
| PackageRelease | lp153.1.9 |
| PackageVersion | 2.0.18 |
| SHA-1 | CD9AFF826B08965B25B59570F553D6D8E4A6E44D |
| SHA-256 | AD2C1AFDD756D15842EB8465E8AFA2623B44A9988A69097A3E48A82AD690D235 |