Result for 4F504C3BEA9AE58A39CC496CFA9BE894EE219EFE

Query result

Key Value
FileName./usr/share/doc/r-cran-brglm/changelog.Debian.gz
FileSize606
MD526077B4DB971DB5ECCDDA297CFB66979
SHA-14F504C3BEA9AE58A39CC496CFA9BE894EE219EFE
SHA-2565307E085EEE2C906C02F15B2E9FFB75FB34C37488C9A8EB8EF4F466122A9A9DC
SSDEEP12:XVqVx6fSGpQ9UmzEHmFtKbs43GBD42jSlyJ2NwdJ42XrxW6a7hWTeUQkJ:XVJC99n42WwJ2NtkW6whWZZJ
TLSHT147F002B94127A0B1F9584279720DB4A8645D574EC2F2DB5D40912D493724AE704D3229
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
FileSize121432
MD5A51B596DEDA07266B463EF3BF1A2072E
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
PackageVersion0.6.2-1
SHA-177B34888449AD1E2479A346EBDE5200ADEB40CA0
SHA-2564471C33A34C373276DB28C0312AD85A8308A5D86763B404848FE12CEEFAE67D6