Result for 7596B3BC082E8742258628BB4BA698C006685AFC

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize244
MD5423D5E69524B7631E097E07E656DB73E
SHA-17596B3BC082E8742258628BB4BA698C006685AFC
SHA-256F8901F21DD64805F086E27A2283BD58A0F7D1AFF8651757E2E141E1133E16EDE
SSDEEP6:Xtr7oTfiESXsy+mBSmnN5V8f3IY3W7M1JvtLuoXVscvAQ/:X5unSsmBSmnDVE241h1uorR/
TLSHT118D097528E181333F0C13EBE95A60F8122DB60C2EB03A084D65DF9444089C060272CAE
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