Result for 65F69A24FB51441228AC29FE9F02BCAA86D84404

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/hsearch.rds
FileSize906
MD5032A2156881653088683B6367A97C086
SHA-165F69A24FB51441228AC29FE9F02BCAA86D84404
SHA-256DC0F85B598322B43545D34100A5381BC1C82BFD31E0D06E943406666317A587D
SSDEEP12:Xbv3eEbTrttDqbyXjC6LwbINUG8web041ZhC8D3Q0iODxb6y2maul:XDj3rttDqu0I58wyr1qo3ziOVey2mP
TLSHT10911EBC15DDCB12DF4135393C1F1881CBDDF2B2C08B01258A5B03D303E65AE441B4359
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
FileSize123488
MD5792657865455E093B02010D94B815036
PackageDescriptionGNU R package for bias reduction in binomial-response GLMs Fit 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.7.1-1
SHA-1F08202D50D64C38F638AC27FE86BCA6EBF0162FC
SHA-25661F84CC27726258F3CA5D0A267831CD10C788E0FBDEF4FD543B2C0488CB8BEBE