Result for 64B1AA7CBE365CF47DC11AB94A79F73714071D1A

Query result

Key Value
FileName./usr/lib/R/library/brglm/Meta/Rd.rds
FileSize829
MD573076DCCAABEAFFCC8DDB879BFDCD8EF
SHA-164B1AA7CBE365CF47DC11AB94A79F73714071D1A
SHA-256A55F28D45EB292757BFABC629C8B083C1B0094C96264EE93983D84F1EC255FB3
SSDEEP24:XZrtN2OQL3f5r6Cr/PZktko3Qq03ZcUmoHbWd0f:XZ5QLd6WxoAq64SbiW
TLSHT15F0152D79A1C188F9F758554B3F0B481B138960EF897C9537053C024DD1505A0C3332D
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
MD51844F770F3A391FEE4FFF98594E3E7E0
PackageArchi586
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
PackageReleaselp150.3.5
PackageVersion0.5_9
SHA-1054928618816F0338B95569E9A4ED25664599750
SHA-256F02413D347C51B95A250E1891811782A9FCF93D50541B34F58F0A09E058C6BAC