Result for 5CFDB4CE19BB6C859AF3743F88DC8A3ACDC48D87

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize239
MD5AB54A3333C9FCFE08D1108CCB9DFF4BB
SHA-15CFDB4CE19BB6C859AF3743F88DC8A3ACDC48D87
SHA-25622E2D71AD30E89FB960CF6E18D7914B81A2D2058FE6CFA6682BC4B05D57562B5
SSDEEP6:XtjOm9+Z4ybrD72FmFwrEbwzP/9mW94IfhwmiwQ:XYm9+Z4ybPwQb+/9mxr
TLSHT197D0973262210E8BF080A0B8248A812A392B821381A8CB50940E6E8AF874B8D1EC6018
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
FileSize90944
MD5D3AA50464CEBC1542ACA0D3C5E80273C
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
PackageVersion0.6.1-1
SHA-1B9D99EB521752C8E1D3536E7877946FF9A3FF709
SHA-25609ECBBE346D9C74D05D8E67B59D35E64D7B06968736A012CCACCD17757F7FE75