Result for 088332D190BF7E619A41DC6B14029DAB458E9949

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize44076
MD5691E3925EED78006B91B1CDE2923812C
SHA-1088332D190BF7E619A41DC6B14029DAB458E9949
SHA-2565FBC97297EED449D7DF715F0120B0945601A11A8A131F2A50AC590B87BCBE3A5
SSDEEP768:s2Ud/Q8eJSqChyTcq1Fabg8fLOVlBCz7L5qFUlNo45g8rqGkRZpZrWCYj5wxkNh7:2d/Q8egq7TcjPfiV7UdxPoNGqnLyqxCJ
TLSHT12813F262471189BE7BC8231A73413C4568F62976231E120CF470F62F28DA93F7CAAC5D
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
FileSize123516
MD57E8166FFDE1B4364E6AE0D197E4EC773
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
PackageVersion0.7.1-1
SHA-105407CB486773EC62D6B66BEC4C5F76C0B769A46
SHA-256A2A9C0446C908307C0ED84B869930E076AF9F56C31277318632BD6E373D80193