Result for 64385199893E4E6C286BB5EAE89C4E6B4BCA1A9A

Query result

Key Value
FileName./usr/lib64/R/library/brglm/libs/brglm.so
FileSize7384
MD56E1F40845D5BEE7B5512085240038657
SHA-164385199893E4E6C286BB5EAE89C4E6B4BCA1A9A
SHA-2568E96998D9B02C2293B1BC83FEF152AF670D3EE3715BF6A735625EBC9C9D924C2
SSDEEP96:RM3MBWB+4wplResB7VT73YBEBS+A+B3G:RMc8YpNesNVTkK/A
TLSHT117E1CB5BF3E18D6FC86953B8406F1775B3B0D856135383231600FA293E03EE82FA5696
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
MD529762D22F70AB427CB5D26F73C2D1952
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
PackageRelease3.15
PackageVersion0.5_9
SHA-1FADA6FCDBB0635E801A31B4A5870F6A2E5170FA0
SHA-256B29D48AE22902E580179B3F312CC0FAE77DED8197F6D5A35692F85B289A3D39E