Result for 53572DB0057F1FC36C3A9ACF0D6AC67C2123A4F6

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/aliases.rds
FileSize278
MD5CDD8865B494EE65B80752486F5F19A99
SHA-153572DB0057F1FC36C3A9ACF0D6AC67C2123A4F6
SHA-2560EB2628FD91FD521BF5B537B1EEF26225D4B06C646074B5C419111149C4F2B8F
SSDEEP6:XtMFYEbPlpreN3Pm+SyQRY5u3dx77xdzLNxnaNQrNqDgvw+A0yZcil:XIbNprcO6r5ud133aNgl7Q6il
TLSHT1C6D02B45B4E5722C90D51062FD1CB04E496CF8EA58A2759598EA4560511A3044AE635F
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
FileSize121052
MD593268611CB2A6AA6479ABDA19A638403
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
PackageVersion0.6.2-1build1
SHA-1442A831BCCB759EF1A64DE04E7FCCCF35AF29C0C
SHA-256ED96C7ED6375CE3F03F2F22BA4F7645C84BD6707F9A6B32C68EA306187E94E02