Result for 562B5E07D3D7A5E611BCDB224AA365E6A9F46057

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize44075
MD54DC8AC779E8A1C7BA0EC8B989E3099EE
SHA-1562B5E07D3D7A5E611BCDB224AA365E6A9F46057
SHA-256E4C86BEC98BD093092564E0516A35BDBCC8F71062A5D72D04B84AEDC8AFE81A9
SSDEEP768:oUd/Q8eJSqChyTcq1Fabg8fLOVlBCz7L5qFUlNo45g8rqGkRZpZrWCYj5wxkNhsW:1d/Q8egq7TcjPfiV7UdxPoNGqnLyqxCJ
TLSHT10013F16247118AAEBB88231A77517C4168F62976270E150CF470F62F28DE93F7CEAC5D
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
FileSize123308
MD53AB2FC34ED7B59B1677CDBE260880B86
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-174FF1A4B5D746F22D3C69B9D38085A001D5B86E4
SHA-25681B1AA0856B271BBE8F9EF27F31897262A125EA572F8648F08A1F5C81230A697