Result for 3DEE1B9A10310100405557ADC5FEB5E53B3CA7BF

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14401
MD55E55555C9CA4E6048D1D7EFFFE8F1E27
SHA-13DEE1B9A10310100405557ADC5FEB5E53B3CA7BF
SHA-2567B3B2721C6F912F0C69F4FAB07D97EFFF64B0E9668A015737C5D72DB71F8E80C
SSDEEP384:bheMRGGxlrE+LqxDuNof1OHyV5BpFCjSiswWgjq:067xd2O+1OSLP4OisAjq
TLSHT10752C0D8465A66A9A06443A4216F36DCC521E8437B793E62B910C330D5DCF8409FFBD4
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