Result for 2D0CE9FFF7C2EAAF5A66A51A0C096FE49DD64F9D

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize44075
MD5A8019B3F3AFAE44B87038C3D55DECC85
SHA-12D0CE9FFF7C2EAAF5A66A51A0C096FE49DD64F9D
SHA-256F442CF48A5FBC2636B044559EDFC0F1C8F59467B69D546E892331D781193E5EB
SSDEEP768:YeUd/Q8eJSqChyTcq1Fabg8fLOVlBCz7L5qFUlNo45g8rqGkRZpZrWCYj5wxkNh7:YLd/Q8egq7TcjPfiV7UdxPoNGqnLyqxE
TLSHT10013F16247019AAEBB88631A73413C4168F62876271E111CF470F63F28DA53F7CEAD9D
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
FileSize123476
MD55F47FC3E8566037D705E041188BE0520
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-113A6C6D50B0673D086EB140D9125C04F732FEFC7
SHA-256ED45D5BED29E958808CDC325E321A438E5A170DB297BA1253A2EEA90D2A97A55