| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/glmnet/Meta/data.rds |
| FileSize | 249 |
| MD5 | 4082D215E0025F80E6D5C5D594A10AAB |
| SHA-1 | 226AB999149C89D5830061FFBC6C27865A461623 |
| SHA-256 | 8DF49BA60D8391DCCBA545DE7A6878EA9F81247AAD897605B6BDBA5F61883EA5 |
| SSDEEP | 6:XtNVK8VKKmlR4rh29y71U4E77FqyogzMl7ZFw0aIwbzzm4HC:XbMAbPFmy71E7M8M/Fw0wzz3C |
| TLSH | T1D4D097CCFBD58400D11B2AF64EC9CAB30E7E02438884D5FC6C8E458A60875E922E28FC |
| 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 |