Result for 249E397D0108F4B7953EA882C5CB9CE2A94AB01E

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/help/brglm.rdb
FileSize61151
MD55E6234312E6416EE12A8ADD1B4EE8434
SHA-1249E397D0108F4B7953EA882C5CB9CE2A94AB01E
SHA-256C35FDF4A6EAA494DCD9AC32165BE49001359F78E7625243711D1171736E1EDAD
SSDEEP1536:3WuuJ6+keLVH/TIj76aHUNL9ftuf8hRQsoTwr3U:3WpdJs7x0f4EhRQs5DU
TLSHT12E5302661EC0F0D01B904DE425EB20A55366AAC2F0C2D9599FD2C6FEC1DD3A7E336A21
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
FileSize121432
MD5A51B596DEDA07266B463EF3BF1A2072E
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
PackageVersion0.6.2-1
SHA-177B34888449AD1E2479A346EBDE5200ADEB40CA0
SHA-2564471C33A34C373276DB28C0312AD85A8308A5D86763B404848FE12CEEFAE67D6