Result for 1C498D058D5C3FF7BA9ED689256506084FA77D6D

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1275
MD52F8D462187F6EF861821E660318AAA20
SHA-11C498D058D5C3FF7BA9ED689256506084FA77D6D
SHA-256DC7154618A152F2C1CCC40B6E63B0ACECAAB50A5C5D64660834071A71E523591
SSDEEP24:XchkbIJwiJTLS1ChOQGl/sll1gIuuiw8aD2PeEPUI0m04u+o3pLBEZG:XUkfiJC1CE2i6g3eEcEluX3dBEZG
TLSHT16321C860F703A46945763560C253BDA2A679F8E4A23E50C3F1588B1D1BF49194D25B04
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
FileSize123308
MD53AB2FC34ED7B59B1677CDBE260880B86
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
PackageVersion0.7.1-1
SHA-174FF1A4B5D746F22D3C69B9D38085A001D5B86E4
SHA-25681B1AA0856B271BBE8F9EF27F31897262A125EA572F8648F08A1F5C81230A697