Result for 1ECDD7CF4C992FFB7A14F8BC2EED9C48C224623E

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize62609
MD5BE030EBA5239BFD1E3F278EF350C600E
SHA-11ECDD7CF4C992FFB7A14F8BC2EED9C48C224623E
SHA-256CB57EFA7AE6AD4CCB9A8F7FF3FF5CDD9EA5F8A276462FE64790E1881FC7D0C7B
SSDEEP1536:jp7xRbJospBnd3SS21Lx2TmOoIk+zRMFVGN:IsznwS2JYCOoIjRM+N
TLSHT1985302C17D1C6D007E68816692364949E28F58FB43A1F677229C753E0F47A4193FC87E
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
FileSize124148
MD569CDF756603158644420AB8E50E5A045
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.7.2-1
SHA-119A107F445D112054CAF52C6BB46E38F91863F70
SHA-2565DCA2D11537EAEF3F672F07D5556674510FD50E05E590F79A3E870327E3E6D16