Result for 0ACE90220D6F6C78D2EC891713ACAF4FC4940B57

Query result

Key Value
FileName./usr/lib/R/site-library/glmnet/R/glmnet.rdb
FileSize120851
MD5F46B84D8756528AC8F593A2029CDCDEC
SHA-10ACE90220D6F6C78D2EC891713ACAF4FC4940B57
SHA-256F98F9D96BE802A040FD6305831253837CC21955E79FA71EDC6F474ADD8BB1D66
SSDEEP1536:JEB5Ss525vOjFRoUOj0SW1J0z9AFl/uCI8x7KT0+ifTpNVLKfubtYOsg8T66E0CU:JS5EA5Oj0F1EAZHjfTpNAuwnT6504pbI
TLSHT1FCC313DCBA7B3D065B1DC5EBF0A2054A65A6EE337C4FA0D50C1DC1FA6AF8A69244205C
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize1414504
MD52703BB99AB1BCEA12E294DAB11525361
PackageDescriptionLasso 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.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-glmnet
PackageSectiongnu-r
PackageVersion2.0-16-2
SHA-1F48337B216BEA047464899B81854BD5A7E4DBBBE
SHA-256BACF395B54C4BD745DA9CA49C2F15C9A1E42E72E7CBF4D692655AFEB4E150CD0