Result for 6B2CA2E63936FE62B99175D4B12A26D8E36C46F4

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/DESCRIPTION
FileSize1330
MD586A52EFE1BEF14A8B76B25B88FDD7577
SHA-16B2CA2E63936FE62B99175D4B12A26D8E36C46F4
SHA-256C6A4229DDCBFB7D1F4350E3071CD7C9B3B0139057CFE378C80678682E0D2340E
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxrcQAt:OXccO5ovMDhMD+kKZinnt
TLSHT1432163A675817F7B1F4119877B3B2BD19A2E46F063F34059101D6A0C6D504A312E36FD
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
FileSize89264
MD5C687EFE51317BE1C4CEEBEF64E299A22
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-10164AD6A590499B88DF3A586EAE09C38BA988C23
SHA-256FB8D499AD325D89763FF545941AE34E6656F36FA7E57AD75489A6F366C6B51A6