Result for 0BD0C882AB6D8CBF0961B04C37D19D4E2513133A

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1577
MD55A409AB6B3863901959043C27AD134BC
SHA-10BD0C882AB6D8CBF0961B04C37D19D4E2513133A
SHA-25620170C74A7B7673F9856BC35A38A2F7319EA1B78C0899AD782555490DD3E2E7B
SSDEEP24:O1KKNVTLCA0IaWa1hfRrovMDhMjrmCf9cp8tJcZ2wRlUm/A0JrVaWjdtVf:ODNRhFT8ovMDhMD+kKZtUmIYxtVf
TLSHT1ED3184B375D1B77F1F8116D77E3F36895A2D6B6667E10098182C065C4C0944306C7AFD
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize123352
MD55B156C0BFD849C6AB68F79950A551A82
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 R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.7.1-1
SHA-1D629E25EC7105BB9F69DF1A0540C31E50F0C8641
SHA-256FD6DC43445F423E8B2C4B42D8BCF3D5D5F4893F8830C6D441B6783F12E4EF7FD