Result for 4EAAD517EF572E5F5198A833A3148D9ABF36CEF6

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1125
MD5636E0D58E3FB34393BDBF2CA302164D6
SHA-14EAAD517EF572E5F5198A833A3148D9ABF36CEF6
SHA-256F59B845BE79297A4BD5D61B33AE07D4C4850BA78A7B122137C884CF5A4A736E3
SSDEEP24:Xyln/VvVStiqczsSEuNxcXNs+SMuvXaeHPP7N8OwmB6u:X2n/VvVsZczsZsQMDHPP72OwAx
TLSHT1F721F9458B8BE78A9334E0FB039AB8931538B50491B55BC78B31A65027D9D4456D1061
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
FileSize89426
MD578B8C7EB69C27166C68BEC4BFF654EA2
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.5-9-1
SHA-1388A33BD297FCFCFFFE2A934179A9BF4A733754D
SHA-25648E0802D8E2B3F7CBDA02C695799D3A4424F3F6ECD7BC40837AB67C8FCCECA59