Result for 8D773AAC9B8F6657AD1836CCB363B00F6E45F3EC

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1332
MD5031D06E6022361F4C1CAEB34E35A6F91
SHA-18D773AAC9B8F6657AD1836CCB363B00F6E45F3EC
SHA-256BC95EDC13D8C5B06EFA2A4C3AA6F03C5BFF4886733CD7DCEC4F9D4FAEC1EE049
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxr3QAt:OXccO5ovMDhMD+kKZicnt
TLSHT18C2163A675817F7B1F4119867B3B2BD19A2E46F063E34059101D6A0C6D504A312E36FD
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