Result for 256F3F7F0A28D46ADCFF8C3EF862AB88AF54B4AD

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdx
FileSize406
MD5128D10B7389FBFB4CE87609A790C06E6
SHA-1256F3F7F0A28D46ADCFF8C3EF862AB88AF54B4AD
SHA-2561AC1300F36475C78F5EC5A21409A704A7D099B49B1D8532A0796E26C8CA646FD
SSDEEP12:XonhHcJYMy+4/kVHBkYGpvF5GBhHDSEWyuGDtsr+KT:XonaJ6PCIdQjxWG5Yf
TLSHT16AE0AB679E0418F9ACBA8D620270553E8BAC81D834554CAE805028E6FD8050D1AE506C
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
FileSize89458
MD577E4004EC493129DAE26035476045254
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.5-9-1
SHA-1FF36C2942DB1C3F4A69FB4929ABFE8A033CF927D
SHA-2569031D9D029149F09E4BF81187FE527C362812FBCB8B13090719CB630F3BE6C8C