Result for 05913E00CD554A35116AB1C705C82D104E32538B

Query result

Key Value
FileName./usr/lib64/R/library/brglm/Meta/data.rds
FileSize121
MD53B1445528BBE9B59311207ACC1C4EF35
SHA-105913E00CD554A35116AB1C705C82D104E32538B
SHA-256C6CB7A6AA3282D3B6CCCA6E6547D6F3491E6A48F298ED92A70CBA30B47B7CCF3
SSDEEP3:FttVFDYBJWOjf9hdpp7OPZiSHkwuuHR/9ksQH9ht:XtVFkB8OJhhSfx/KT
TLSHT16EB022CA02820200AE88002222E3020008AEA8F2C082882B02B808A222CB00088EA8CE
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
MD5C4C88F8E0463F6B15E01ABA7A8687134
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
PackageReleaselp152.3.19
PackageVersion0.5_9
SHA-1E51D016F37B50EE0EBDA0A6A6C40A4052ACC624F
SHA-25648896505E655F4BA96A080FCEFC4237F0C2FD74921011AEC948F45BB59206586