Result for 7DDF4C29925702F46847194883864F305E8B4869

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize232
MD5EAA13A1640927B7F960129E69ECCFECE
SHA-17DDF4C29925702F46847194883864F305E8B4869
SHA-256BD625443BE0FBC85FF9C6CC1DD193F75EAD14181905BFA49E70AB31561DB1707
SSDEEP3:FttZ2g/NdY8RDq8cBCmMY5k5vnN04hIFd6ChTavV8gHoKU8AzKdtrc3D90LjEXHF:XtQ6PYA3xYu5vC4hMK8fzzKdtqByjEp/
TLSHT15CD097390F80EFE0E4484832AFC2DA0BC136C271C8D3420B5C543163C5AC298469AA40
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
FileSize89156
MD5EB1A7E78490E2B354C8ACEBC1105A25E
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-1AC3E78CB912A5CA38FCC94979013486F2DE11538
SHA-2564752D9CD9A38D6EA2B41E2532303B91058437DD2B8DC2847D321D431B28059E8