Result for 87FB255B8E344FF23F89642EFAD77DBD47957CB1

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdx
FileSize404
MD5AA4BCD8D8421844CF7A11BEAF3BEFC8F
SHA-187FB255B8E344FF23F89642EFAD77DBD47957CB1
SHA-25690300235D4C612C09FFC3A228D9C826C843F052E1913EC8DC0F94C47883A6318
SSDEEP6:XtCnYkpVpXre9UMIbyFYG67LyWyeAXDENu6Svp4AR9bXpIKzJ4T61xUZ0IW:Xonzjp7E9FAfGeAXYuXWKbBzJBUZPW
TLSHT146E0AB61FE08C9FB7BACA195421BA94CB70001A2C4609812191734F947D458F4D40614
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
FileSize89024
MD5BD1DB8F6A5E5FDCE14B05F2449A02128
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-155192F9A78060F356DB23169E17A2C7C1D98A56B
SHA-256B86D8906BD80EA6A0BEAE0FE912AA0A8673FE2E9C5EC71742DD025ED34AA14B0