Result for 0B922DC90D8F0532E3107D8BE1EA1DEEEB8BC5DB

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1325
MD5CE598B5CE0C758975CA2E8C8A3AF8893
SHA-10B922DC90D8F0532E3107D8BE1EA1DEEEB8BC5DB
SHA-25659397FF754345A1A948F46D6155EF040E9CA37DA87030167519AF2AD8D92FA1D
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxrA7At:OXccO5ovMDhMD+kKZiwt
TLSHT14A2163A675817F7B1F4109877B3B27E19A2D0AF163E34059541D5A0C6D504A312E36FD
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
FileSize89458
MD577E4004EC493129DAE26035476045254
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
PackageVersion0.5-9-1
SHA-1FF36C2942DB1C3F4A69FB4929ABFE8A033CF927D
SHA-2569031D9D029149F09E4BF81187FE527C362812FBCB8B13090719CB630F3BE6C8C