Result for 8970B0C8F3D490ADA9373D69F03F986C5187B4D6

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdx
FileSize411
MD55A3AAEB349C91F2D873331D83F2A2BED
SHA-18970B0C8F3D490ADA9373D69F03F986C5187B4D6
SHA-2562437C85427ADD0F0B589E991F6B0FD4DD7F9EF9950826E01487D7BC8E585E120
SSDEEP6:XtolI2vUCJMHdUGma60s3xSHUb6Uiy1CA4Eh9xa2CIIr+JSGsHa8R4400o/n:XalIAJMzmaiMciyDh9xa2CO740Dn
TLSHT18EE0F15B8E848D594FCA92E95383D995D0168CC7F3FE4B3A883EC8010E5686B5EA44B9
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