| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/R/glmnet.rdb |
| FileSize | 218309 |
| MD5 | 74B781BE73DD1EF76B2791256FE6A662 |
| SHA-1 | 3398BF8F62ACD8F4A665CF44543D8901CC2782CB |
| SHA-256 | DD5E827506E96F05603DA616005344BB3A5F5C9F26173C0DFAACCBC97F89BE1F |
| SSDEEP | 6144:YOO/0+/g8REt4UZ26POkjzvytCABDvT6ymInAV4BcBwxC:YnfPR6POkvatCABqTInAV4BcqC |
| TLSH | T1B124128B69C6EDD2623B729E6D517BF1FA0082510F16821964F0E58FA44E03C7D9E8BC |
| 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 |