Result for 29AC1DA6EB727016FF5D9B87D3EA94859D280499

Query result

Key Value
FileName./usr/lib64/R/library/glmnet/libs/glmnet.so
FileSize248072
MD52ACFA5C07172C341FCBAC30DDAB0F46B
SHA-129AC1DA6EB727016FF5D9B87D3EA94859D280499
SHA-256E446E8352871A5F03454115AD1B589448AC6BE888DE8CB1E08B1239AD47CB7AB
SSDEEP3072:cZ4Abc602/Q+XP4dKeh04hL1jw3cLZIp8VdwLjqFD8usqb8+Q3+HviNh6Jvky52S:gbu2/2dH/jw30IUG/qp8kbquqiLIG
TLSHT1CB34EA43F4E284ECC4D6D974923BB023BA71784D813C6635AB85DE203BBFB14AA5B715
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD5913CA99019D6C21897051A4F8991C327
PackageArchx86_64
PackageDescriptionExtremely 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 regression. The algorithm uses cyclical coordinate descent in a path-wise fashion.
PackageNameR-glmnet
PackageReleaselp151.1.41
PackageVersion2.0.18
SHA-156CD6BD10D0F9CB45C1D6C37F4D3D233E46EF875
SHA-256C86A01688E6B2C7BB06E70980844BAD85E86EC8675BD45CC17CA7BF469198627