Result for 238570D0CDE2C5284967C6BC2E9E4FCA50AAFE68

Query result

Key Value
FileName./usr/lib/R/site-library/brglm/R/brglm.rdx
FileSize543
MD535E077544D34ECB3B9C58DF99956C27D
SHA-1238570D0CDE2C5284967C6BC2E9E4FCA50AAFE68
SHA-25656FD3E006B6AAC09AC4B06C3A6D4D013A84DBFBD65440B481FEB52ED8500D9EB
SSDEEP12:Xmco2RVvvv3v/4tFQavhQn+U4++Ig/Hdc8FGcB:Xms/n/vUHQn+hsYdckB
TLSHT126F02061590DD0E787FF4AB5AF4D285342AEA42A5688C425AFF259299F109900A242EA
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize89122
MD507560355A888C368361AB0D151799F5D
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-100770E752F8C5FB157A88D154E3469783D8C9C5C
SHA-25656FCBE23F2249C0BA6AF4DD02119EA3C73E640201AAFDFE93E917A7F6DEA96C8
Key Value
FileSize89024
MD5BD1DB8F6A5E5FDCE14B05F2449A02128
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-155192F9A78060F356DB23169E17A2C7C1D98A56B
SHA-256B86D8906BD80EA6A0BEAE0FE912AA0A8673FE2E9C5EC71742DD025ED34AA14B0