Result for 22A158A211AF2D1A87D1BC606D62E7FD165E2B46

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1335
MD5E52A964A6BE1A78BCCA41A2E10102DDF
SHA-122A158A211AF2D1A87D1BC606D62E7FD165E2B46
SHA-256C4643A0B735A22B1905E2C9D6F1CFC30890C9BE768E2CB1A3187439914CB230A
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxrTjd7At:OXccO5ovMDhMD+kKZiGxkt
TLSHT1D62163AA71827F7B1F4109867B3B2BD19A2D4AF063E34049101D5A0C6D504A312E36FD
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
FileSize89122
MD507560355A888C368361AB0D151799F5D
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-100770E752F8C5FB157A88D154E3469783D8C9C5C
SHA-25656FCBE23F2249C0BA6AF4DD02119EA3C73E640201AAFDFE93E917A7F6DEA96C8