Result for 4CE6E884828B2F0AEDE2E1C2E50041147F0CCB4E

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14401
MD53ED6D754A40F1A0E78221102D557C401
SHA-14CE6E884828B2F0AEDE2E1C2E50041147F0CCB4E
SHA-256C91836FF591467CA15EBB0411AE5640D951DD2D462919C6567E4DB83A33BB48E
SSDEEP384:bdJiRGGxlrE+LqxDuNof1OHyV5BpFCjSiswWgjq:47xd2O+1OSLP4OisAjq
TLSHT13052D0E8479A56B9A06483A4215F32DC8925F8437B792E66BA20C330D1DCE440AEFBD4
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