Result for 8C6A4DA70E56630A8322CD7E33915B392E9BBBDE

Query result

Key Value
FileName./usr/lib64/R/library/brglm/libs/brglm.so
FileSize7384
MD59A70D1E36D6875E48D3D2383E8941AB0
SHA-18C6A4DA70E56630A8322CD7E33915B392E9BBBDE
SHA-256A83F84A9471CABA0476E21529D1E0504A379FEC6046CD285B4E28B96AF7F3078
SSDEEP96:RR3MBWB+4wplResB7VT73YBEBS+A+B3G:RRc8YpNesNVTkK/A
TLSHT17CE1DC5BF3E18D6FC86953B8406F1775B3B0D856535387231600FA293E03EE82FA5696
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
MD58E11A12C9ED3B17C18E13C7FA3A862A5
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
PackageReleaselp151.3.60
PackageVersion0.5_9
SHA-1B36FB1D03DC50CA991FD377B3E9E8EFFF7A93958
SHA-256758D0051AA5E962ED74DD5D84CD3CBE4F991455F0573B7BAE5FA18AFA4A5412F