Result for 452E693A98F825CE5D0C66587A8CCB6C989F88CF

Query result

Key Value
FileName./usr/lib64/R/library/brglm/DESCRIPTION
FileSize1319
MD5FB3350FDB67DF38E8582539541FF2222
SHA-1452E693A98F825CE5D0C66587A8CCB6C989F88CF
SHA-2564774FB4DBC23BFB2F4AAB3EEDB1CA009198376A8B794C9BA37E3DAB4FC3E8029
SSDEEP24:O1CeccOA0fRrovMDhMjrmCf9cp8tJcZ2w0gxrq:OXccO5ovMDhMD+kKZi/
TLSHT1FD2183A77482BF7B0F4105867B3B23E18E2D06F123E38059201C4A1C695049702936ED
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD5912002974319CA69CD812B7B882E4087
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
PackageRelease3.228
PackageVersion0.5_9
SHA-16544396DD879F27EBC274943172A9C6252F4698A
SHA-2563C8D1710532B0FAA04CE28ACD6E53B93B543B238AA1DA0CF46314209AE8B3AF9