Result for 1F893AC08C93AF2C5D69AA071B71EB0F195B7867

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1575
MD5134EAB04A696717DE1D940EAD802CA17
SHA-11F893AC08C93AF2C5D69AA071B71EB0F195B7867
SHA-256C6A1D575D1F96BDCCBA64CBE00A6C4491324CD669FD0819433D9A5098F8EDA63
SSDEEP24:O1KKaTLCA0IaWa1hfRrovMDhMjrmCf9cp8tJcZ2wRlpOm/A0JrMi7WGAVN:ODWhFT8ovMDhMD+kKZtwmIVUAVN
TLSHT13C3184A335E0BB7E1F4125D77F2F33895A186B6567E2009D181D066C5D0944306C3AFE
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
FileSize124100
MD59AB0D42EFDFC95E86B56C425F3D4A2F4
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-1B69DDD42492DA42982F1007BA340ACF039EFB0F5
SHA-2565022D552FCF2F19AAB12282EB23E755248E20D028AD8D12F621F3306C81AE732