| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/doc/Coxnet.pdf |
| FileSize | 50727 |
| MD5 | 8BA72535EFD55A4864B0571E02B7FBC4 |
| SHA-1 | 1A2F9017728FE26299F7C57AD9982BD651D5E319 |
| SHA-256 | C65667D9D29CAA8D9721F775858E1FD540BA6356254CE5B6CC5CE85AABA6F41A |
| SSDEEP | 768:5rnYYeke4tzZ2W6sW3//HlnM6mvFgvFWLKZ306zrCJpV5dNqylBY9nAkaw+:5Xz4lDGXSNWSEOmJpiJzq |
| TLSH | T18133F2046C1A7250C54B6E60590E5105CA2EA2AB0E19954E346CCFDF3B56DA8FE3D3F5 |
| 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 |