Result for 408069DAEF6242BB3FF026F2DFDAAAE509E5FE1F

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1129
MD5CE0DBE34344CBACBED775D0B0C281FCC
SHA-1408069DAEF6242BB3FF026F2DFDAAAE509E5FE1F
SHA-2563F42326B6BE7F036BC84BB1B5CDAF72127363D62CCBBEEA39861B4B85B5E5408
SSDEEP24:XwUXNZ9UaR5yoVWMA2dw8Vf4il+G9SgyUxo9mABhJs738W2RltM9BA8HYYD:Xh39UabtWa5Vfz0G95xo9mA7JHTlt49t
TLSHT14A21F93087C852A79FE81AD237806DB6F507C5F23D2E77314F82161D609F710A86D035
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
FileSize120036
MD5BFE3D6722E3A6BB386F0BAE22A45CB2F
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
PackageVersion0.6.1-2
SHA-18110327DA78B62231124CA0F10A52C454FBC0EAF
SHA-256337A7D6C40F64D3D1BD69021447FAB3758B47C1B406EA2CE4A3A04C98091CD0C