Result for 34FE5EA7E5CCB9FCA9DBF76C2BBCE481C9FF7080

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1327
MD576C53F0EA92407D041E83C384FFF9D33
SHA-134FE5EA7E5CCB9FCA9DBF76C2BBCE481C9FF7080
SHA-256F3B2FE6E1BF79147C2A34D2772CCF878F67137C2237FBE36B88B230681030382
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxroMNAt:OXccO5ovMDhMD+kKZi7MOt
TLSHT1892163A674817F7F1F4109877B3B27D19A2D06F063E34049501D5A0C6D504A212E36FD
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
FileSize89288
MD5B1D1313BB69FEB5A80A1137A4E0E00A9
PackageDescriptionGNU R package for bias reduction in binomial-response GLMs Fit 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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.5-9-1
SHA-1CA2EFFB1F6EC5FB668AAF7F91B188ADA2F875921
SHA-256D3201D3890994CA0C7E4E14947109B2E7F984FCA0DBF661332AE16EA881816D7