Result for 53688DDB55350C68F98C4AF9289828769F082E38

Query result

Key Value
FileName./usr/lib/R/library/brglm/Meta/hsearch.rds
FileSize835
MD5158D7E35B4C1AD99C1D28E01646683FD
SHA-153688DDB55350C68F98C4AF9289828769F082E38
SHA-2561B55E90BF183F7068533A654E89F3A7ADD140D6274E44793A9CCCE271ABB39C6
SSDEEP24:X2x3mDMTNLf5/HMklITycP+pYBWD1RyuhSaFur:XI5NrlFcJBWt3c
TLSHT17801867F19974230D4E16CB55672D721B33B4428650923A1691C5D278CDA999BB4CDC4
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
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