Result for 399BA0E97FA4ADD2ACBEACF4A25D0171C2F816FD

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1279
MD5CA1A5FB404BA127F7D75E696259A71C8
SHA-1399BA0E97FA4ADD2ACBEACF4A25D0171C2F816FD
SHA-256E0CC247C8B7C4635974C7B3C22045D2B53963CA67AA9E25605E007E1317015EF
SSDEEP24:XH/ixWSBxw/kjqu1zC1VIIIImFGw2ft74vW2Mus0nNZZRSiLAgq+C0V9U/uu:XfaLnL8eIIIvR174vd5s0nNZZRSiLAg8
TLSHT10321C56189F7874B4F61F1F6A961C07A4B0609651308EA4B8F7CD063AAD89A6FF0B01C
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
FileSize124100
MD59AB0D42EFDFC95E86B56C425F3D4A2F4
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
PackageVersion0.7.2-1
SHA-1B69DDD42492DA42982F1007BA340ACF039EFB0F5
SHA-2565022D552FCF2F19AAB12282EB23E755248E20D028AD8D12F621F3306C81AE732