Result for 66FB8DAFB9CDF80CA38B5E0F5C719950AEF2A8EE

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1333
MD5CF63542CD8B0C19E8694A186CE22C49D
SHA-166FB8DAFB9CDF80CA38B5E0F5C719950AEF2A8EE
SHA-2560836937A9DF51722CD5181578E81FCC207477FE43C78117851B68B8B80009B69
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxrPGQAt:OXccO5ovMDhMD+kKZifnt
TLSHT1862183A674C17F7B1F4109867B3B2BD19A2D0AF063E34049101D5A0C6D504A312E32FD
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
FileSize89024
MD5BD1DB8F6A5E5FDCE14B05F2449A02128
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.5-9-1
SHA-155192F9A78060F356DB23169E17A2C7C1D98A56B
SHA-256B86D8906BD80EA6A0BEAE0FE912AA0A8673FE2E9C5EC71742DD025ED34AA14B0