Result for 14041340EE23419510B21F67A2576C2051CAB39C

Query result

Key Value
FileName./usr/lib64/R/library/brglm/Meta/package.rds
FileSize1252
MD53A35AC372EEA789EAE371B4821702D67
SHA-114041340EE23419510B21F67A2576C2051CAB39C
SHA-25680519FDBC5E90001DF185E0D7723964B2E1B52509926B33BB01C8FBC5E6BB543
SSDEEP24:XrcdbzyL+gOZKaNqaAt2Ji/0kAcD/vLVm2gCqpXeB558c:XrcdbuL+gOvwaONZtqbXWyc
TLSHT17D21E756D986F8EADB5F493281DE57C3091098D690A7CC804240FC8CC064981E4A44EE
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
MD50286855345E1B2A8E09FEFF96AB19FCB
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
PackageReleaselp153.1.1
PackageVersion0.7.2
SHA-127745A2702479F4C311FA2E69524E2536D950E53
SHA-256D7F60F07C295DA20CC1A5D641CA14ACDFA8D623E998221CB22D2340921AC2C5C