Result for 53FB7B3290E17F238DC4F6357EB12440E56F1A85

Query result

Key Value
FileName./usr/lib64/R/library/brglm/libs/brglm.so
FileSize7952
MD50F9D880F57775CF6DF7F737C676D02EC
SHA-153FB7B3290E17F238DC4F6357EB12440E56F1A85
SHA-2564F6503CBE844F9E3DC4223A91802FDD374583C4EA76A71734BCF0A2BE9CED25D
SSDEEP96:RHsBWBLgVEYR3cgcbRejbJIIERttt9tp7csVBrTBb+io5QMfgOC4U3:RM89gVEU3b8eHiIER7t9tpRhT4iagO
TLSHT17FF1F31FFBB9CD2FDC580338487F137472B0D4D81B425723A204AA752D467E8DA9659E
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
MD55724C63933B2F8DE45D59D5A1B734426
PackageArchx86_64
PackageDescriptionFit 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.
PackageNameR-brglm
PackageReleaselp153.1.3
PackageVersion0.7.2
SHA-178F4A7164F96FDC7532CCA2BC3D71AEC35FD87FA
SHA-2566B666F3A0709954FD394C74BACAE349E6C35A0AAA773F9BEF0088F2C7257760D