| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/glmnet/R/glmnet.rdb |
| FileSize | 123426 |
| MD5 | C47143FD16F49CE5C9F808F5C1981E1B |
| SHA-1 | 335F0F4E597ECF93B0B46BC65BB658276DCF68F7 |
| SHA-256 | E93804C112BE85DEF8D021A42A31847EA6D54201ED872DB501C5F65D3E6024FC |
| SSDEEP | 1536:z2umIy3XVOQ7MAP05SiETAfDCRJr9R2U3vX9+K6hpxOwHwBIGexEucFShaSyX0rI:5UwAs5bg2UPwK+xOw4ehvA0rnOuTs |
| TLSH | T155C312F25D6C3E9DCFF965041983277984B90E29EB2020E30B46E4772928FF85E67225 |
| 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 | 2979B186A914D0A670E7FB8FFE8E72EF |
| 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 | 1.47 |
| PackageVersion | 2.0.18 |
| SHA-1 | 115F2740A548A660807F9158B783AE9A9B0BCAE7 |
| SHA-256 | 6E7F819C818947DC5269938EB3CD2F02105A0D66D4E2EDCBD2DA66671F08660C |