Result for 3FD47794D51F59C9A00C0A815A9D6956C11E0288

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1569
MD5BFD22B01BAF07A3EAC2DEC4FB14A9815
SHA-13FD47794D51F59C9A00C0A815A9D6956C11E0288
SHA-2561C64E6C454459FEBF86CCA6E2C6818535416CC0E08CA3319C46BB5A2F81845F1
SSDEEP24:O1KKaTLCA0IaWa1hfRrovMDhMjrmCf9cp8tJcZ2wRlpOm/A0JrMi3RMDVN:ODWhFT8ovMDhMD+kKZtwmIVmMDVN
TLSHT13F31846375E0BB6E1F4129D77F2F32895A1C2B7567E20089182C056C5D0944706C3AFE
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
FileSize124104
MD5B5D5FD5551AF34F3DC348FFD55F82C30
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.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.7.2-1
SHA-17E602BF71E6546E82D5E8FE6861DB15195A9D65D
SHA-256B91CAE63B58AE8C909ECA1C2AD6109CF987C382467A81BD0E4BF4C82F235B3F0