Result for 524152B77C646902A01127E001343D90CB1E4376

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize60986
MD571C883E71127F278ADAFB5927A30C6D4
SHA-1524152B77C646902A01127E001343D90CB1E4376
SHA-256A4E59A47E84558AEAF1C12A178F03957E9369AC0DD047D1F2DA3595077B6EA67
SSDEEP768:QlcmD7csLxSddhS1xArlE4K6nc3d2bQnrLAdHQ/I5yab683eiBjrjTv8bWCIh9t3:eDBuhfr+pz1nfcHOIsZ8OKj3rbD
TLSHT11D53029DCC0F3D91E71BF97A84E1F323C6E2160E2661A812DD78899365D1776C381B78
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
FileSize89024
MD5BD1DB8F6A5E5FDCE14B05F2449A02128
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-155192F9A78060F356DB23169E17A2C7C1D98A56B
SHA-256B86D8906BD80EA6A0BEAE0FE912AA0A8673FE2E9C5EC71742DD025ED34AA14B0