Result for 4F409A509E6DD9F139B655A166C98E1B97090D30

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize232
MD5A6CD21D491759C5D4B33B829591F23F8
SHA-14F409A509E6DD9F139B655A166C98E1B97090D30
SHA-256AC582E8B257CDCE869DD7F2651F2B63E02D487BB42A64536F9CB0600097C7AA0
SSDEEP6:XtQ6PPUJfWYu5vCFI7KAVeRuGDhXUiCp3D9F2wln:X+mPGfWVIFyViuG6bV9FDln
TLSHT173D0A76DA6C6CA74ED80847C8F1AC199902659716473444AACDCDD22C48A37E74EF952
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