Result for 43AA53BC7C80721ABA22E6CA6538E5BBED57D470

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14400
MD513B78BBA4572131948D33C7674EF2846
SHA-143AA53BC7C80721ABA22E6CA6538E5BBED57D470
SHA-25683A1C6AAF33D50F2D3EB397A9CC899D72AA7E596F9B4E5B4A5F81E0E1E96DD87
SSDEEP384:bdeRGGxlrE+LqxDuNof1OHyV5BpFCjSiswWgjq:i7xd2O+1OSLP4OisAjq
TLSHT10E52D1E8479A56A9A06043A4215F32DC8921E8937F793EA2B960C330D1DCF445AEFAD4
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
FileSize89264
MD5C687EFE51317BE1C4CEEBEF64E299A22
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-10164AD6A590499B88DF3A586EAE09C38BA988C23
SHA-256FB8D499AD325D89763FF545941AE34E6656F36FA7E57AD75489A6F366C6B51A6