Result for 01F8C7CE95458334418D296111F24305E7EE7ECB

Query result

Key Value
FileName./usr/lib/R/library/brglm/libs/brglm.so
FileSize7044
MD57F3892F08B798B1DFDC0C92E12FF2A6C
SHA-101F8C7CE95458334418D296111F24305E7EE7ECB
SHA-256198B4C049898746BFF2B3B26600A175579DDF69AEB429F6A2A787D7C0457A812
SSDEEP96:2aarBWBHUnhpJXIqaoPipdlM3no7/CByBX1WQDU:2Dr8NeJ4qaoPipnMoeQo
TLSHT198E1CB9AF6E3CD37CC956238C1A703657332D90602E2C313C7A8A5213E933FD6D6A592
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
MD5DADAB67A63468319DE624AC1F9E9270C
PackageArcharmv7hl
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
PackageRelease3.181
PackageVersion0.5_9
SHA-1E1418144096C01506951904A8E9D9C6C63F16D05
SHA-256093D7FC9E2E0E8C3849BB70087382299EDCCC03D91CE43789CEE8A458080E895