Result for 820C394B59729AF88FFD5CDB704BD7E5A6901D93

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize244
MD57C19AAD2D7FD0C2C9137C1D00701EDE3
SHA-1820C394B59729AF88FFD5CDB704BD7E5A6901D93
SHA-2565AF4D855A5B9FD09CC0C43B13532D6AC7C91D92EB69AB0AB0F84A17C552A07C2
SSDEEP6:XtXGvzD7dA7V+VLNY1JoRmnVtYBb9D1K8TCGSrChu:XkzDBZY1JoiTYBb9DHTCPqu
TLSHT1FED095ABC069753DA721347D42DC5345A0150E5707C28554E067CB52B0453D243D055E
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
FileSize121432
MD5A51B596DEDA07266B463EF3BF1A2072E
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.6.2-1
SHA-177B34888449AD1E2479A346EBDE5200ADEB40CA0
SHA-2564471C33A34C373276DB28C0312AD85A8308A5D86763B404848FE12CEEFAE67D6