Result for 059DC12574B038AD99B9896802AF993E1EF715A7

Query result

Key Value
FileName./usr/lib64/R/library/brglm/DESCRIPTION
FileSize1319
MD573E99C3BE0016797178D0FD2F7F330D8
SHA-1059DC12574B038AD99B9896802AF993E1EF715A7
SHA-2569DE446930F8BC04C82DA92D641F397A60620E48786B87C7AC8D2DFDFAF63E028
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxrA:OXccO5ovMDhMD+kKZi5
TLSHT1CC2163A67582BF7B0F0105C6BB3B27E59E1D06F063F34059641C9A1C69505A712936ED
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
MD58E11A12C9ED3B17C18E13C7FA3A862A5
PackageArchx86_64
PackageDescriptionFit generalized linear models with binomial responses using either an adjusted-score approach to bias reduction or maximum penalized likelihood where penalization is by Jeffreys invariant prior. These procedures return estimates with improved frequentist properties (bias, mean squared error) that are always finite even in cases where the maximum likelihood estimates are infinite (data separation). Fitting takes place by fitting generalized linear models on iteratively updated pseudo-data. The interface is essentially the same as 'glm'. More flexibility is provided by the fact that custom pseudo-data representations can be specified and used for model fitting. Functions are provided for the construction of confidence intervals for the reduced-bias estimates.
PackageNameR-brglm
PackageReleaselp151.3.60
PackageVersion0.5_9
SHA-1B36FB1D03DC50CA991FD377B3E9E8EFFF7A93958
SHA-256758D0051AA5E962ED74DD5D84CD3CBE4F991455F0573B7BAE5FA18AFA4A5412F