Key | Value |
---|---|
FileName | ./usr/lib/R/site-library/glmnet/R/glmnet.rdx |
FileSize | 1880 |
MD5 | 2EC49FEBA6763273CFA1262A29F4A414 |
SHA-1 | 16C779DE8ABA528896FCE30B8479484F9DC6006A |
SHA-256 | 9A1C29BEBDC0C67E8D1E953CC45DAA30D0CFB3762238383CC18C577B78598281 |
SSDEEP | 48:XUa2NNgvVn5pqckt7MrVoDHEmWi9vsV1ozXALFMYy25Q1VGtJ:hKgtni1t7/kmW0vkozXALFMb2C1VGb |
TLSH | T154410658BB3469F4982BF992A06DA127C1F665209C3C9EA1E22A3CB9880F230174D210 |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 1790636 |
MD5 | 0FDDF512F1FA49E1C58B6B0642246758 |
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 | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 4.1-2 |
SHA-1 | 503CCC991AA0BDEAB2E66CCD239093B948761A71 |
SHA-256 | 32FB520FDDE1FE9B438CDD7539605714C13B84776763A3DCB2C3E48F64E85BD3 |
Key | Value |
---|---|
FileSize | 1782936 |
MD5 | A95EC865448CF36EA5F2E44CCD3A6E70 |
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 | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 4.1-2 |
SHA-1 | 2D8FF03F8FD5D29923A1236B670B33AFD7C33DD5 |
SHA-256 | 96D94CC49D85CC4D8667B8920C0F071F60F8DAE9840A76F964D4F3B5A851E6B2 |
Key | Value |
---|---|
FileSize | 1801916 |
MD5 | 3302DC2AF988BD50D171112B1BF7381A |
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 | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> |
PackageName | r-cran-glmnet |
PackageSection | gnu-r |
PackageVersion | 4.1-2 |
SHA-1 | B89E84EB36581C861DEA21EE704122D8DDE1C17C |
SHA-256 | 42C96BE12DA81C761D805F3E753B0711EB576AE7BA0C8133F1A89DC7229E789B |