Result for 1148FE03BDC398B25C6C146D2503C63DE66FECD4

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize43913
MD533E06A376743099B1703BD9AF7518128
SHA-11148FE03BDC398B25C6C146D2503C63DE66FECD4
SHA-256B04D04C28FC53362A84C5D99FC85BAE0905E10241C94765939B5EE57E970D16B
SSDEEP768:U6Ve1MQLaP7wIGVXS1F2wFKw3P7t2GbGccCym1xPXdUtc8wSV6weB2aOHDYfIEx6:U6VMLw7wVVXSSw8KPM2GPqtt8wSzPRcM
TLSHT1C013E1BDF78826612ABB94B285A3B505E21528BF409F0B8F5375AF9405488ECF13615F
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
FileSize119892
MD58792554CBDC11EC2C09A09ECFEDE2AFC
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
PackageVersion0.6.1-2
SHA-173DEA012514910274983A09A6D769EEB5893F099
SHA-256935B20945DFACD356D4FAFA04E56A81E6BD0DC46E9F05AC671555F5FF9F4FE98