Result for 271ABE14AA0D2D229FF6CE440587561A5C960142

Query result

Key Value
FileName./usr/lib64/R/library/brglm/Meta/package.rds
FileSize1126
MD5DABF97613EC32633A07B2544A31D9526
SHA-1271ABE14AA0D2D229FF6CE440587561A5C960142
SHA-2563473B4EF0B02C6115674C871C07C88BF63B0BF280020280291058951F4DFC4B9
SSDEEP24:X7ZdV/gl/0N7c+pAzdITY/iIkQ4wYmRX1au3X4H4a6:X1/+81cIAzaTMiIklVmRFauHk6
TLSHT1F321CA14C4314605DABA1455689552CAF7F05410E9E481676873751D5500A3B2C9AE17
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
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