Result for 2893AA7F6DFD1C6F852D273846C29D13EB0A346D

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14402
MD567133660B5866568CC1BBB1D8DDA4F7F
SHA-12893AA7F6DFD1C6F852D273846C29D13EB0A346D
SHA-25626329BF686AA22C97D6142032D6AF0DE5C891C7DCB90DAAF720A67A6F265443D
SSDEEP384:bdBRGGxlrE+LqxDuNof1OHyV5BpFCjSiswWgjq:17xd2O+1OSLP4OisAjq
TLSHT1D852C0E8475A56B9A06083A4215F32DCC525E9537E793E63B960C330D1DCF441AEFAD4
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
FileSize89276
MD53B3A80021CAFB0312A1E425ACF2B29C9
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-1EF46EBDDF1DAD384AA3BDFB4361C777EE375293D
SHA-256271D091DFA59C1F6D5541B70ED52CBC611419CD35EEA8C65011FECFB70A895C0