Result for 50846081CC0EB8825663B1B57BC236A5786C1728

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize61022
MD5AB8C91C2D402046651DF3DC2E1EFE561
SHA-150846081CC0EB8825663B1B57BC236A5786C1728
SHA-256F2974AB9FFAC7AF5E6BDEA7FDF52F5555C94E18BB8DC71C3594CACF4AA2ED329
SSDEEP1536:ogsEeMtDv7phrMDHx6hvSUYbj0nNZzrReyjIfpBwfwB3y3CT1:ogbeMthhoDHxakjwvzMy0xuKCG1
TLSHT1D353024A4D48287F830C8ADD8987733957DF6189C2F93610B364F800971F7A9D977AAD
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
FileSize90772
MD5015DA8FA008BCA0D94173E8E00CE3C35
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
PackageVersion0.6.1-1
SHA-1846DAA5288933FF2F6E59532BBEAE13431DC3747
SHA-256096D2F0659D1F082663C33702EABD5983288BF8F1E50DC1DF69AA91A64917F08