Result for 16C128ABF2097D3DA395CF9A5C9EB256C2F1B537

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdx
FileSize406
MD53DF0053C934336E9E515CA6BB2A28345
SHA-116C128ABF2097D3DA395CF9A5C9EB256C2F1B537
SHA-2568CF7602F3A00B19A89D436ECC4E7E962D25F49537BE0E89DC7B72FF1E05573FF
SSDEEP6:XtPCplFdWeriqHC4Nz3DAA7pdElyxto0RXiQU2cLahL5wnWc6yLnKRH1l:XxCplW2JBHelyxto0RXiQUih5jyzKRVl
TLSHT1C1E0ABA8B918222945DA2020D920E495A92B67BB027219A08E19DDA97886953197FA7C
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
FileSize89426
MD578B8C7EB69C27166C68BEC4BFF654EA2
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 Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.5-9-1
SHA-1388A33BD297FCFCFFFE2A934179A9BF4A733754D
SHA-25648E0802D8E2B3F7CBDA02C695799D3A4424F3F6ECD7BC40837AB67C8FCCECA59