Result for 76128625E753B4BA0A126328DCA7F0702E8CC310

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/nsInfo.rds
FileSize658
MD5818F2770B4DADDC85EA8D07B221B8F07
SHA-176128625E753B4BA0A126328DCA7F0702E8CC310
SHA-25688A24B191DBF193052B4EB7C7CBF027B96574A9FB93ADA6178C9BF1A4ED21328
SSDEEP12:XZ+OkK/4EmnjA+tf4krKDLDQlo8A6KbJrHuZteLe2zfZrCZBZ2q65GmenAKsmOQC:Xg1Hj94AKDLYobTJrHOwLZSzpAKJExRr
TLSHT18F0123BFE5078825A59365BF10ECEF361869AE24379FA9A3982C8B014190A210667508
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
FileSize121052
MD593268611CB2A6AA6479ABDA19A638403
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
PackageVersion0.6.2-1build1
SHA-1442A831BCCB759EF1A64DE04E7FCCCF35AF29C0C
SHA-256ED96C7ED6375CE3F03F2F22BA4F7645C84BD6707F9A6B32C68EA306187E94E02