| Key | Value |
|---|---|
| FileName | ./usr/lib/R/library/glmnet/Meta/package.rds |
| FileSize | 1140 |
| MD5 | 59F940A456581436803725AEB31752E0 |
| SHA-1 | 13827672740BE24B0FBA44776D04C724E8171C2A |
| SHA-256 | 8C4C101882F89A0804C96BA4AC44DC16ACE1F62C888159E740BAFA45C6906039 |
| SSDEEP | 24:XBFo4le4kHdgLNMOorjKJ7zf/n+PDZAeeb7HCn3WzIJvcpTD:XQ45u6Lr37rU1lebu3WzINw/ |
| TLSH | T1D421FDAF266616E5DC0C8DA64B74BCED572D083B934D4F03751212F4320D2580EAB8C0 |
| 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 | 91DA86A9B3321A44E36D5F8569466FBA |
| PackageArch | armv7hl |
| 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 | 1.43 |
| PackageVersion | 2.0.18 |
| SHA-1 | CAEA1F34B30C6BE3823C6A47CB82E131F49AB805 |
| SHA-256 | A39B6D1C1F209934534991345E6F6B4BFC7F635A7C488F24DE1A6ADBA6CD8E8F |