Result for 0F52E6C6F35073C6EB2061C3D84AAD68CCD6A81D

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/libs/brglm.so
FileSize5288
MD5E11ECE2DCFD52E87001276F21910F431
SHA-10F52E6C6F35073C6EB2061C3D84AAD68CCD6A81D
SHA-256C42BFE7013208466794A7E61F736932F528AB7F62828A79863FD352EBB149DB6
SSDEEP48:FokOqx1MBWBPYEFCw5ZXjHl23oioEFInnFCiVtUie1Zy1A+mquSZVMuDSVB:ek1MBWBPYElXJvHcAW1umqzZmuDSVB
TLSHT134B1404BFFE2FD73D856673C009B87A5A3B2CA0047629B63660435DA2E272D82D52107
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
FileSize89156
MD5EB1A7E78490E2B354C8ACEBC1105A25E
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-1AC3E78CB912A5CA38FCC94979013486F2DE11538
SHA-2564752D9CD9A38D6EA2B41E2532303B91058437DD2B8DC2847D321D431B28059E8