Result for 4D454AA68C941AC66256E4251DFDB6957611920A

Query result

Key Value
FileName./usr/lib64/R/library/brglm/Meta/package.rds
FileSize1122
MD54418AD871CCE92BA7CE3FC48D062EECB
SHA-14D454AA68C941AC66256E4251DFDB6957611920A
SHA-256808C77C936A326094183C56386351D10ABA0AF57CB7FDEE07074EC38D48FE570
SSDEEP24:XajM8Gq5pRueuRjL0B7EO58x5xn+Ny6Jiqr2rZ1QCmGcg:XaM8GOvhW/47Ox5Z0zs8vS
TLSHT120213305AA1615AF39F15EF81450D184A0F725AFDB81BD454FD266E8C4A287063E709E
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
MD556AADE7A867F871B437C0FA66E4EA5CB
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
PackageRelease3.26
PackageVersion0.5_9
SHA-1B1D6D8B82AB45FB309F967FC9FB80DE82CE23447
SHA-2565C80E2EBB1E917A441B857D1156C799E9953EB1AF326A8E0A20BFF0D08437C3E