Result for 5AAE0089548000411444E48C9C275D9F2455F5B1

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize43915
MD58C17FA0660D2C47D35FF88EF0FCFA7D0
SHA-15AAE0089548000411444E48C9C275D9F2455F5B1
SHA-256B8F5B3ADDF7D0856EC1F8C3E1C5AF4ECFB83345B1FE784C43F93FD3C576FD745
SSDEEP768:TsVe1MQLaP7wIGVXS1F2wFKw3P7t2GbGccCym1xPXdUtc8wSV6weB2aOHDYfIEx6:TsVMLw7wVVXSSw8KPM2GPqtt8wSzPRcM
TLSHT1F013E1BDB34826712ABA98B385A3B905E21528BF409F0B8F67756E9404488ECF17615B
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
FileSize120208
MD54B08995EF4D1A9024E56BB49718431C9
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.
PackageMaintainerDebian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.6.1-2
SHA-13722DFA1F8C9A8A7CDD37F1CF066194D7505C09C
SHA-256CAE35212A909340DBA0293453B7B0FFD0808D16CCD306867129BF71A000FB00D