Result for 26148B63F24E967DBBC7D8C6B4160A8317A57818

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1122
MD5C366D0A9FAA277329F43AAC9CB899E71
SHA-126148B63F24E967DBBC7D8C6B4160A8317A57818
SHA-256F9AB61B206EF0177CE53F603EA399A797AAFD979E8B8C2E755E3B36CF8C98EF9
SSDEEP24:XmXuDw7rnI5ISx4maM7UbxKCS6WPCDh6hNsvistKXOAuTGvyJC:XmXuM7rnEIHMYQpHqlEW6wEuT+aC
TLSHT15221F630281FAEC4A3AD13926EB2373F410EA2B3DF0E2B2994C32C5CB9049082C41E80
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