Result for 481A1355626641E82D43D0B859D29FAE4A34DE41

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1569
MD5B29FF8A324DEDB68202E93C684B7287F
SHA-1481A1355626641E82D43D0B859D29FAE4A34DE41
SHA-256BC9B03251F6DE2AD864E4496220B0D567C0026722547C409CF2ACE7786CE50A3
SSDEEP24:O1KKNVTLCA0IaWa1hfRrovMDhMjrmCf9cp8tJcZ2wRlUm/A0Jr7Vf:ODNRhFT8ovMDhMD+kKZtUmIMVf
TLSHT19531A6B375D1B77E1F4116D77E3F32894A2D2B666BE100981C2D066C4C0954706C36FD
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
FileSize123488
MD5792657865455E093B02010D94B815036
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.7.1-1
SHA-1F08202D50D64C38F638AC27FE86BCA6EBF0162FC
SHA-25661F84CC27726258F3CA5D0A267831CD10C788E0FBDEF4FD543B2C0488CB8BEBE