| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/glmnet/Meta/package.rds |
| FileSize | 1137 |
| MD5 | 1EB01E71BF53FFE75B478808827FDBBB |
| SHA-1 | 109C108C1FB564D67B953A88BEF8946792B1E510 |
| SHA-256 | 2F4EE26CA1F7549470971F59756CEBA5E11501159D96E1CD9D43C5A5E1F1848E |
| SSDEEP | 24:XvsB8/qOtZhAUMAzmJs2/ckwlMG8A/mY+3EorctVN2bGezZkFY:XkBwnZoCmJZO1/mYE9reVN2diW |
| TLSH | T1F221961551EC3889DFA41D577518727ED5B0D18082A0A349E3A529BE7D052650EE32DB |
| 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 | 913CA99019D6C21897051A4F8991C327 |
| 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 | lp151.1.41 |
| PackageVersion | 2.0.18 |
| SHA-1 | 56CD6BD10D0F9CB45C1D6C37F4D3D233E46EF875 |
| SHA-256 | C86A01688E6B2C7BB06E70980844BAD85E86EC8675BD45CC17CA7BF469198627 |