Result for 3DAEFFD114ABB6FEFA3CFE789B76D49F66DD1B6A

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize236
MD5A3C7FAE087FFD60E9482A4591DD0EB22
SHA-13DAEFFD114ABB6FEFA3CFE789B76D49F66DD1B6A
SHA-2561560D6E592F5CBBFE2EF499E66124EFFAD5A7DB96538E3D5BBC8833D0D4E279C
SSDEEP6:XtIJ8n2wuNpIHBqtmRGL7F+P52k7jwGe9uQhBAvf09ssNN/:XGnwuDIHBqtm0FOLHOhw3oNV
TLSHT1FDD0972080800823C35068351CD64302A8A2A8902F02643EB0E58E27A028CB2CCE1BE4
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
FileSize120212
MD58DE168A31C749F75551233076F66DC0A
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
PackageVersion0.6.1-2
SHA-1DFD9CA04025DE61015E2E6FC77F333289FF57A61
SHA-256C947BD07087662E9B1047D7DD914402A704CD7F46D072BAAD33E6FCDB45AAB57