Result for 7371C549779FE4189E23151E4585CE76EBCADA0D

Query result

Key Value
FileName./usr/lib64/R/library/brglm/DESCRIPTION
FileSize1561
MD599965A571ECB2ED99C1F89157F246B66
SHA-17371C549779FE4189E23151E4585CE76EBCADA0D
SHA-2561DFDA88CD2E295D09D0C4DD419F675039C04FEC71702A063AA30CBE5A4AC2615
SSDEEP24:O1KKaTLCA0IaWa1hfRrovMDhMjrmCf9cp8tJcZ2wRlpOm/A0JrMaG:ODWhFT8ovMDhMD+kKZtwmIVaG
TLSHT1143164A375E1BB6E0F4125D7BE3F32994A186B767BE20099282D066C9D0904706C3AED
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
MD5C5261CF61DC5F5DFC070A11AE84BC53E
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
PackageReleaselp154.1.1
PackageVersion0.7.2
SHA-1EE999711DC4EA8E3C24BA525E5D2F7C7C91709AE
SHA-2564A886644D8DB971EA4BD966618C998085C414B5CBE0FCFE5A460698CD1F9841D