Result for 555ED53E9D7A3B51DB30E8A8F7BE9B4FEC08330D

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize235
MD54D5467D4CD3EAFD601BD69E44B620DFE
SHA-1555ED53E9D7A3B51DB30E8A8F7BE9B4FEC08330D
SHA-25681506E937D4D338F13B5B00EDC3FF206036AF90431C0BFCDF49CD25820750223
SSDEEP6:XtHjumy12UWbrKubCWWwdCfBMoQd6mMQgrl67AGd2BQE8:Xpb1UW3BCWWwdCCoQ471s7AGYGE8
TLSHT1A4D0A748425670D4E4C52B74AE9626CB2B7C6314E442D723654E53E6D1418944A540AB
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
FileSize89254
MD58A9014CBE27D6AB2CEF6587DD36FDC18
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-102EB0194C9224AB83725A17C4622369881F403BA
SHA-256D472F5F0D7A348AD0EB160291D6A3F8BCD202DA637FDEA86765C613331238027