Result for 59A393E846958512F4895928D1B57A842F7FC14C

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/links.rds
FileSize346
MD51130399104613DE7677E2F3A95267617
SHA-159A393E846958512F4895928D1B57A842F7FC14C
SHA-256B4B23C579183FB03930BEFCD89A7D41AB447BF7CB58949971B107757B00520BC
SSDEEP6:XtpmcLT0l2xde76HyZhpHlUU5CXyvZh2bYeT9gz9hwdDm9KCP+I4s0lmjFa9:X7dremEhpFUU5C2ZSnT92/wxy+Z
TLSHT167E0C0D01AF1DE1ADEE27F3E44E640DB202C69412C80F8141F049009C3D0C0C31A79E2
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