Result for 31C88C87F92F06D3FD425A2CC8BBC5EC0A95B71A

Query result

Key Value
FileName./usr/lib64/R/library/brglm/html/00Index.html
FileSize3952
MD5B30B186F165FDFE3BC56F2F1BBEC3938
SHA-131C88C87F92F06D3FD425A2CC8BBC5EC0A95B71A
SHA-2562394342BA3B0CE1D7A3090E723426F9F230B1DE79816EAAE97DEE832A00BA2B6
SSDEEP96:1zUK4lYQdJQPrdi8QufkCXwxQcGQlhsUMtPQKg:LGxU7FIhBKg
TLSHT1A781BED380C4697E424116A9A3A53DEE26E103F467465D009A7F6CFFDF026E282531C3
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
MD50286855345E1B2A8E09FEFF96AB19FCB
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
PackageReleaselp153.1.1
PackageVersion0.7.2
SHA-127745A2702479F4C311FA2E69524E2536D950E53
SHA-256D7F60F07C295DA20CC1A5D641CA14ACDFA8D623E998221CB22D2340921AC2C5C