Result for 539D455C1725DD23E0B988ECEAA1B8E8F5F2AA24

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize44077
MD5B6A34D924209FDB66CF530605C8DDAEB
SHA-1539D455C1725DD23E0B988ECEAA1B8E8F5F2AA24
SHA-256C9E31A94916C24C35CB1193CB0FEC1CBEE772084432F03925A5E6A336D5F3F5A
SSDEEP768:LUd/Q8eJSqChyTcq1Fabg8fLOVlBCz7L5qFUlNo45g8rqGkRZpZrWCYj5wxkNhsW:gd/Q8egq7TcjPfiV7UdxPoNGqnLyqxCJ
TLSHT1B413F152430189AE7B88231A77417C4168F62976270E150DF470F62F28DA93F7CEAC9D
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
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