Result for 01B247A05137C7B7EABFAA28E521DB196109E598

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/nsInfo.rds
FileSize658
MD5DBB2D49706CACCA85E2AAD97FEA9D7E1
SHA-101B247A05137C7B7EABFAA28E521DB196109E598
SHA-256F9CF85AD618630D8AE8EF1EC1EA8F37177AD5D693A0B6A41642EA3C1AAF59092
SSDEEP12:Xy/DJQQJT3a2psizkrKDLDQlo8A6KbJrHu2NAZqsiji0l22ulhZIT8L6+7JxzRV:Xy/DJQQZVaizAKDLYobTJrHnNvjiSfut
TLSHT1FF0183F7800EC2268188D72721DC85C9C0402D5BA4BE93F3102C8B309421DA2D4B7842
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
FileSize123488
MD5792657865455E093B02010D94B815036
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
PackageVersion0.7.1-1
SHA-1F08202D50D64C38F638AC27FE86BCA6EBF0162FC
SHA-25661F84CC27726258F3CA5D0A267831CD10C788E0FBDEF4FD543B2C0488CB8BEBE