Result for 65A93816237ABAE2B255DD90B1505642B9D2A33A

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/paths.rds
FileSize242
MD5D84A425F12DB512F6DB7732E3856DDC9
SHA-165A93816237ABAE2B255DD90B1505642B9D2A33A
SHA-25694A10AC503AC8E224DD9E137FCE0AE73476AFE581930046428FB88DDA57B4BA3
SSDEEP6:XtEDfN0kMFsQUn5KxcRFBf3qMf4pST1nnbrganwxLG8AxW:X+R0kMS5uclf3qMv1nbrganwxSXW
TLSHT18ED0957417B20D75C5141624034D024DD86E455E01C40151C8C150E6457B4A5ACFFCDD
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
FileSize123488
MD5792657865455E093B02010D94B815036
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
PackageVersion0.7.1-1
SHA-1F08202D50D64C38F638AC27FE86BCA6EBF0162FC
SHA-25661F84CC27726258F3CA5D0A267831CD10C788E0FBDEF4FD543B2C0488CB8BEBE