| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/doc/glmnetFamily.R |
| FileSize | 3489 |
| MD5 | 71BB4625DF1F8B879287C42AD69F3707 |
| SHA-1 | 3D83CCE7E128BF8C697E35857D6B203E3907B132 |
| SHA-256 | 47AAEE9B94DA569923CAD3DE9F3E3B3C2FFA60BB70871FA06EE54E47AE2468DE |
| SSDEEP | 48:f6d6Pp0KHPn5kChrAhN2IbNbyVZbnDQbekFussp8HnkHH4tHPaow4Yg6p:f6gppF2ihDDKHnUYdPXw4w |
| TLSH | T16F71CB72DE140CE330C6DDA7A6539A82CF02137858B278AD315C9B74576DB287BAE507 |
| 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 |
|---|---|
| FileSize | 1683136 |
| MD5 | 1A2BC2CAB71BAF9E56C9E4A1DB6FA4D3 |
| PackageDescription | Lasso and Elastic-Net Regularized Generalized Linear Models 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. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | r-cran-glmnet |
| PackageSection | gnu-r |
| PackageVersion | 4.0-2-1 |
| SHA-1 | FE6FC967714C288699A078BFA4602A5EBD213FD5 |
| SHA-256 | 7A499233B4BF3737408293D507BDA3574DDCACB95647A2881D26C5C2902E5EB1 |