Result for 687EB2256D613767CEF427559B0F60332ECF4D9C

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/data.rds
FileSize111
MD5B3244CA716598DDA31C2D61B0232F2D3
SHA-1687EB2256D613767CEF427559B0F60332ECF4D9C
SHA-256C9B5D0E034F15CB5CAC823212221596A74516EAAD8A1EBA7CAB05B50EA358257
SSDEEP3:FttVFD8gX89mOu55ZJsCRXjxLy9FFNPxYxK9ZVU/n:XtVFl8EOu5Dxjx+3TYM76
TLSHT1B4B092AD424039B8DD8F443CC41042E9CA8DDC9145F89A824B80030866858A2AE959BE
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
FileSize121052
MD593268611CB2A6AA6479ABDA19A638403
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamer-cran-brglm
PackageSectiongnu-r
PackageVersion0.6.2-1build1
SHA-1442A831BCCB759EF1A64DE04E7FCCCF35AF29C0C
SHA-256ED96C7ED6375CE3F03F2F22BA4F7645C84BD6707F9A6B32C68EA306187E94E02