Result for 10C1E94226118D5A4EC01F5F4F04278BC1EB871A

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1579
MD58506516F51531D3C5E65EBB6A8B95829
SHA-110C1E94226118D5A4EC01F5F4F04278BC1EB871A
SHA-256683DA9B02B777BB2C1887DCFF49A357B5BD7313051D7B4FEC9F03FB21C87A64A
SSDEEP24:O1KKNVTLCA0IaWa1hfRrovMDhMjrmCf9cp8tJcZ2wRlUm/A0JrVaiGAVf:ODNRhFT8ovMDhMD+kKZtUmIpAVf
TLSHT1233184B375D1BB7E1F4116DBBE2F36898A2D6B666BE10098182C066C4C0954306C3AFD
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
FileSize123704
MD54C8E1E1BADF1A1F5226324A0A8A7D8D5
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-145BF9DB37043DF742EAB59ECC7E881A27C422C26
SHA-256EF9AA7CAA125AA17E8562752F89DE13B48D8EF3C183E84E1BAD3D5C921C274B5