Result for 5C4679C97C913A13E291AB017A1718E3C97F041A

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/Meta/package.rds
FileSize1115
MD5D10007AC0A6B7E14261A4E5D8D234F33
SHA-15C4679C97C913A13E291AB017A1718E3C97F041A
SHA-256BEACE1D0FBDD899BE41AAD1665D52A97D8F5E6DB95F28F81D5A9F7D29F11E640
SSDEEP24:XuIjUOVOBSRNYpq3Y7zFAU0remaWptfnICujpgThV7Wb8B1xdH:Xu1OVOsRcq3Y1T0imnppnJcOL7tbH
TLSHT11121B9F32AD4D37961658361AA1E884329C4DCCD25079000906A9D8187CBD93233CBBD
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
FileSize89458
MD577E4004EC493129DAE26035476045254
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
PackageVersion0.5-9-1
SHA-1FF36C2942DB1C3F4A69FB4929ABFE8A033CF927D
SHA-2569031D9D029149F09E4BF81187FE527C362812FBCB8B13090719CB630F3BE6C8C