Result for 26D6A618F58885A1B9FD292FE6B86DA858E79E5D

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdb
FileSize14403
MD5559640FFA542BCAFBAEE5C3DB5721358
SHA-126D6A618F58885A1B9FD292FE6B86DA858E79E5D
SHA-256D46FFEB3F036D40EE741F3E4D415538F4620C33A5779575307502B7C1BFBD91B
SSDEEP192:9d7y47j7PaEQ6vpVs80r+r47/RGeG40G9BI5IBoZsNoSPGkQ7xsvJag93Iuy5f:90437PaJ6i8M+Mr1CZTeCS3BNuf
TLSHT1AE52C0DEE26AA6CC462E2CC825D861F9AB90C5C772734424B5A5C20FCF54ED54E8AC5C
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
FileSize89232
MD5F3E4E8B64EC73CF1F1BFA9FC3E3D75EC
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-1F7EA3F6BA49247B720191F2486EBF82CA435A210
SHA-256E9E920AD1E6F697E79B39E4A930A8FE17E8135E653AD59AB7A26BA1F17506E68