Result for 485112281E41D43F4BEE07559834874E04D035A0

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize44552
MD52C7038FD3E863C5E96FB896F41EAA712
SHA-1485112281E41D43F4BEE07559834874E04D035A0
SHA-25602AF1BAFF1BAB5268BE80083E205C70144001EB2B8D3F9AEFCBEA3E7D9227680
SSDEEP768:Zv4+s0eryKltrZxJXtAEnEOr0eoaLxMAs24AHiUy:p4+6r3fTcqYILJHQ
TLSHT1F413F10F25428240AE2B5750539243A1B432BBD4CA1F54D6E56E9B18EBAF93EDD80F1F
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
FileSize121432
MD5A51B596DEDA07266B463EF3BF1A2072E
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.6.2-1
SHA-177B34888449AD1E2479A346EBDE5200ADEB40CA0
SHA-2564471C33A34C373276DB28C0312AD85A8308A5D86763B404848FE12CEEFAE67D6