Result for 7D991C0E1EF5731519F7AF10C5674BBE1AC491DF

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize60984
MD5C1BB924E8BD6EF55CED6BBA8DBCE3122
SHA-17D991C0E1EF5731519F7AF10C5674BBE1AC491DF
SHA-2569C0004AD21F2E78D4896FBC55637946C1933E5809A6E2B4E7C0DF602E99256EA
SSDEEP768:UlcmD7csLxSddhS1xvDBlE4K6nc/bX9dRLxhbYrn0wc38E1UwiyqCnvLfoQPsRiJ:KDBuh6D8pLbrRbYr0wDE1UgcJRe
TLSHT14B53021CDAAAA186132CA0F0DCF6F1025FF716571125E078EC9CC59744FC26AC2A1FBA
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