Result for 110DBBC83BAE976203FC1CACB833D770FBE5C02A

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1283
MD599B973EC7D2B1A39750C0F74168FBD7C
SHA-1110DBBC83BAE976203FC1CACB833D770FBE5C02A
SHA-2566D45914ADB087AB87942AC54B7650237A7C798F5FF5F0D3F31900B4697DE938E
SSDEEP24:XD7gmoSSQEHHecw3SXW1BhdkBNfGJ1uf5LcUrX6XIAzBD0SMwnp:XPgJH+ldvk3fGJM5QWX6XnzBH
TLSHT1D9211AFE40ADD99ECE277718941F015D8A9E01081F4C308E6178E44CF8E8C39B9E1014
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
FileSize124388
MD5BA748F3E21448474FE111779159AFE85
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-1203C93730E87A67B7F00FE93D91FC32A81E1F211
SHA-256DC69E5FADDCB6F5EC0EC79C3F73C4A3A168E24A18A2DD00ADB27FCE9FD670E9D