Result for 50BB26A8342B57E31AF09311D38DE0C647AD77B0

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize233
MD5F0903116360F2B68DE9CCC18E0D968F5
SHA-150BB26A8342B57E31AF09311D38DE0C647AD77B0
SHA-256AA2FBF7A9AFD39B37FFB1860770AAD4BABDB2F2CBDEE1CEE85CE5CC2BFB1178E
SSDEEP6:Xt3kEDdOqI0WjxDIx0DZbNoXVC4MhPz4DdDH/M2oAkVzLvHm4hUvQ:X9kEDdzYjxDdbH/2HoA6vHjh7
TLSHT198D0971EF2240080CC806031088E9642A8A6027A8A8984E10081A326E0233B70E046FF
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
FileSize90598
MD5C49BF7326A78CDF084B01831FB83A593
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-165CDD9343BDF173EC49857B43CA2982DE72F66A1
SHA-25601BD2A9AD5765B10B9CAC5D62039D93AA6CBE4A191F2EE8798AE4351B4BDC631