Result for 0F3AAF0E7F83101001BDF59CCEF562FA3C1712F4

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdx
FileSize408
MD5A090B55E3F447A2DB55C999656A6D099
SHA-10F3AAF0E7F83101001BDF59CCEF562FA3C1712F4
SHA-25688A39FD0231D9F7D01B5C9FC3002EDE4EDF4CF09BAE5EA32121BD2D1CF510450
SSDEEP6:XtRFSmtHpCYwANG0Zs+FiJsIIUelpddmKD5TlZZGS1kkbx69ca2wpN6I9zTu84b:XHFSwpeA8rZSBYGlVSkoNlB4b
TLSHT133E0AB081D041431E5A14E59BB696B8CD9AAA81E2E19842ABC510519A39C5C05DCDC15
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
FileSize89288
MD5B1D1313BB69FEB5A80A1137A4E0E00A9
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-1CA2EFFB1F6EC5FB668AAF7F91B188ADA2F875921
SHA-256D3201D3890994CA0C7E4E14947109B2E7F984FCA0DBF661332AE16EA881816D7