Result for 3132FAC9B8F5DEB1EEEAD8B8C98BB604A1B54752

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14401
MD550C2DFFFF01A139326F9D5F49197772F
SHA-13132FAC9B8F5DEB1EEEAD8B8C98BB604A1B54752
SHA-256DF0CF5DF3DFF8889D8288FE18CBFF0E82C2F42E061105CCDA412F04296A5FC66
SSDEEP384:bv6RGGxlrE+LqxDuNof1OHyV5BpFCjSiswWgjq:DU7xd2O+1OSLP4OisAjq
TLSHT16852D0E8478A66A9E06453A4215F36DCC925E8537B793E62BA20C334D1CCF8019EEAD4
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
FileSize89156
MD5EB1A7E78490E2B354C8ACEBC1105A25E
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-1AC3E78CB912A5CA38FCC94979013486F2DE11538
SHA-2564752D9CD9A38D6EA2B41E2532303B91058437DD2B8DC2847D321D431B28059E8