Result for 37E93BFEA619C5634CD37B07ED0AF355BB252E20

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdx
FileSize560
MD5F40D18C56FB7B0D37A1022F5E0EA84A0
SHA-137E93BFEA619C5634CD37B07ED0AF355BB252E20
SHA-256E688278499F50F3A997495F15DE7BA3790C94A00BD48DFD12875F576FCA8E09C
SSDEEP12:XovDSnTs7+6D4nKAZH6kGbjzF/2DEMOqbp4NSSYfyCrrsF6ibbE:XoAIt4KAZObV/2lZpASjrrshU
TLSHT158F096284E9044D1087ADC2FD1426C8C796C772BEED778D411005ED923039ED91E4D00
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