Result for 027FBCA649C4D102E989E4854E58DEE3D3E0294F

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize60992
MD58D7D7C68DEF8EFE91B825FEB25AB7E92
SHA-1027FBCA649C4D102E989E4854E58DEE3D3E0294F
SHA-256F97711D2B343BA5987A5C6E04C4FA4D6C91749815890ABC26570FCBC495C5497
SSDEEP1536:ZDBuhp6uvkt1OfW145xRhLIoPCxb0qvqSmS:Z9HuvkKfWCxRhLIoPquTS
TLSHT1F15302BF428F982B514346FBD9F2D644B3D15CE173F2ED61A628CC7238E2166D916328
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