Result for 096ACAF4FCE530DC2D7272E8A2AE7316CFD5124B

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize61018
MD59048EFF644BE37A0F2AB5B4CE3C08984
SHA-1096ACAF4FCE530DC2D7272E8A2AE7316CFD5124B
SHA-256A3D3AC455762F5270F9A757AE0D594A9E8C5ECB56085B8B841B45D9B83BDA432
SSDEEP768:zhmGEhxE01vjLUGYkA/JwTW3Nia8V1cAffGk2/yWWaD2ObjT48QKIt7RYFC+MTM:zSdcGRN8ixcZ/y9U2Ofk83Itk
TLSHT1D95301E5BC401129A7879899F8D77328B2D4336DD773440727D409A63ECA6EFC91B3A2
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