| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/libs/glmnet.so |
| FileSize | 266936 |
| MD5 | F5B95A5C326285B3C8D03EA124F90B17 |
| SHA-1 | 24CF50FB8B77FBCEE4661ADF9A53E0DAE3136B52 |
| SHA-256 | 33929EA3720ACCC1E825E9399D5919191FB3E276CA4C2FE08EDFFC34FB7AB862 |
| SSDEEP | 6144:gPi2F2EVeQ4KxbvqBoURlKtawC64/dFVztCw7u:mN2EcQxxbvqBoQlAaR64/dFVztC4 |
| TLSH | T19244D883F0B184ECC496D974A33B7023BA617C0DC13C76659B91CE143BBEB14AA6B716 |
| 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 | 1777680 |
| MD5 | D2D31253673425EF5760936999E9622E |
| 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 | 4.1-2 |
| SHA-1 | 6E6D70092464B3D26A65561E29824ECEBF79DDF4 |
| SHA-256 | 93204997EC5CCA41B1CA2485DF218F0961D61B561315B634965EE551EDB32F1C |