Result for 042C2109D9C227CD7B81156E1B313D8F93159093

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/libs/brglm.so
FileSize5920
MD55E4CBC0780868E49769BE43D8F9301B2
SHA-1042C2109D9C227CD7B81156E1B313D8F93159093
SHA-256C73E687F71010E47D7697CD7CE091BC9785271FCE19F469D7C2870B4BF4BBB1B
SSDEEP48:9cGK4BLVMBWBPYEc6LB0k1opk9fHVS9I1Weos7+sjRAgZ6tI+/u:1VBpMBWBPYE90k4idSGAs7+uZ6jG
TLSHT1CDC1DC5BE352DFBECC78233581CF433173B1581957735707A698E2206DA32849F52A9A
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
FileSize89288
MD5B1D1313BB69FEB5A80A1137A4E0E00A9
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-1CA2EFFB1F6EC5FB668AAF7F91B188ADA2F875921
SHA-256D3201D3890994CA0C7E4E14947109B2E7F984FCA0DBF661332AE16EA881816D7