| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/glmnet/DESCRIPTION |
| FileSize | 1151 |
| MD5 | 24CCC7FFBB666977B16F57E02E109FBC |
| SHA-1 | 0ECFBC00E527AB07CE1D0E1AFE610146853F3646 |
| SHA-256 | 20C4E491805B07A9A8ADD9226E6589367AA6C330C48CCD22145A92DD16F94664 |
| SSDEEP | 24:zmV050gjMK55vTgtveKRrLOf6GYq3Q541F/U2T/fcKD2HUSDl4yrF:C/+55rOveK5OfPsY//2UIj |
| TLSH | T1D12167435A6CA3374383432F3E785BB0AD1583A4BB95C8A48FFA273C93015494AF5384 |
| 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 | 71E6911695FE5CD358381FE1837DD04E |
| 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 | lp152.1.10 |
| PackageVersion | 2.0.18 |
| SHA-1 | 014993F2B65FB9B93346002AE76A54F4289322BA |
| SHA-256 | FDA5D5E397F62BD30A61E00467B821104DA0F78AC0D3697A41307B7F56B04BED |