Result for 0B7958F177D648D76F9BECE70E9A0EAD179AB556

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdx
FileSize577
MD5E83158D5AF6772BD3E82553F517DD8BC
SHA-10B7958F177D648D76F9BECE70E9A0EAD179AB556
SHA-256DE3D2C60B5FC5EF5E9A650773827956554AB27CF1B7DB565865004172D3278A2
SSDEEP12:XstiTTCl4xmXSrHagY8YDsj9fAm+PDDSiURJ0G78XNAw1hM1JSncnFLWoNJ:XfTTCl4xmimBDsBIm+PDDSR8XT1hMjwA
TLSHT168F096A200CDB5B2D05036BCDD8D2911E868C5BFF337146BF7CD048067F2C084651911
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize123704
MD54C8E1E1BADF1A1F5226324A0A8A7D8D5
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-145BF9DB37043DF742EAB59ECC7E881A27C422C26
SHA-256EF9AA7CAA125AA17E8562752F89DE13B48D8EF3C183E84E1BAD3D5C921C274B5
Key Value
FileSize123408
MD5273854124468B92C17CA8887322F5EED
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-137A6894F475634F95528A70EDC48DCFEA3B0A612
SHA-2563475C31D23A0ADFDD6BC1DA8FC35C8B1F8A74F9ED85805A99E4B0AACFF8685D4