Result for 5FFCDB2C5E4110D9E62C6EB6F435A34C66DAE2AB

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1274
MD5B4989B96B879E1055D160CD8A56F4940
SHA-15FFCDB2C5E4110D9E62C6EB6F435A34C66DAE2AB
SHA-25679AB72955E3351140718772EADBB668D2FB047FC31116409487A054C724780D4
SSDEEP24:XHGtTu4k9LoS4IyAlqfcznIr9rNj5WyrKpM+qGdlkkBfoqKp2Btmvu:Xm04cLoS45AlqfrrNNjIyD4kFhMWu
TLSHT13921C8D24DA1775CEE867989D301023B5DAF25CDE335588BED99824E9F83552108B804
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
FileSize124148
MD569CDF756603158644420AB8E50E5A045
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
PackageVersion0.7.2-1
SHA-119A107F445D112054CAF52C6BB46E38F91863F70
SHA-2565DCA2D11537EAEF3F672F07D5556674510FD50E05E590F79A3E870327E3E6D16