Result for 342B5D2DBDFD96E6BE63B6C1FD200683343D9EC8

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/nsInfo.rds
FileSize469
MD577C5BC316C25BB4C5C1B1753FAFD0F01
SHA-1342B5D2DBDFD96E6BE63B6C1FD200683343D9EC8
SHA-2564B0E8AEBBDD831270C1659AC022C4D28C80DF13CA8769741E5D553504A091FF7
SSDEEP12:XyMXgCEZqqIP7tHvlvHgDFHdbvZHwaVyisn/2S4e:Xye/0qbP7N9vHA9Tdmhn+De
TLSHT155F0DC850BA51F22D90888FE4C436A9ABA126C09B06F7710611ECA4CAA6C09807CBCE5
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
FileSize89232
MD5F3E4E8B64EC73CF1F1BFA9FC3E3D75EC
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-1F7EA3F6BA49247B720191F2486EBF82CA435A210
SHA-256E9E920AD1E6F697E79B39E4A930A8FE17E8135E653AD59AB7A26BA1F17506E68