Result for 686C41DDE4FE6D75E4B2C922BCC00335374F56DF

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14401
MD55398E62CCFE244EF2C167570F4D6D5AE
SHA-1686C41DDE4FE6D75E4B2C922BCC00335374F56DF
SHA-2563EABB61AFD995373B85C19743482BC62C7674C8E94AFF4DE08ECBAD2037E0E09
SSDEEP384:bh8KRGGxlrE+LqxDuNof1OHyV5BpFCjSiswWgjq:B7xd2O+1OSLP4OisAjq
TLSHT1ED52D0D8475A65B9A46443A4215F32DCC521F9433B793EA2B920C330D1DCF844AFEBD4
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
FileSize89254
MD58A9014CBE27D6AB2CEF6587DD36FDC18
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-102EB0194C9224AB83725A17C4622369881F403BA
SHA-256D472F5F0D7A348AD0EB160291D6A3F8BCD202DA637FDEA86765C613331238027