Result for 1C64FBCFE20D8BEC5C6340A77F53069C9A16A1F6

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdx
FileSize410
MD55DF3FF5405E110237700DAE38D2E9894
SHA-11C64FBCFE20D8BEC5C6340A77F53069C9A16A1F6
SHA-256221F753458504ED031515BCD22BC00E9D3A758584AB400EF01AE9527342EB45E
SSDEEP12:XBIhJruCjAo7gsvnOoXReFGCCQK/6blzZhoZw:XehJNjFssvOAoGqZDEw
TLSHT1B8E0F19A7717A77DFF982562026ED00C6E9CEE3E4698FA40956856CC3556009CFD0B38
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
FileSize89264
MD5C687EFE51317BE1C4CEEBEF64E299A22
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-10164AD6A590499B88DF3A586EAE09C38BA988C23
SHA-256FB8D499AD325D89763FF545941AE34E6656F36FA7E57AD75489A6F366C6B51A6