Result for 74705A441B52AD4DD58AF30FB0D06BCBD512BC7B

Query result

Key Value
FileName./usr/lib/R/library/brglm/Meta/package.rds
FileSize1128
MD5CDE7359EDE4D9DF59664DE93CFFA4B6B
SHA-174705A441B52AD4DD58AF30FB0D06BCBD512BC7B
SHA-25606641B4BC41F616F797BF58030562EF63AAA039BBD1D68AF0B18FBA56A8A252A
SSDEEP24:XRVHaXLEMmq36dTEtUuYvfM62NwtuUXzVOr7vmP3czstZx8:XL6X7gEtlYvfzyElzYr7v6338
TLSHT13321F90A64C1E201D3F236BB86058382DEC918F38816F841E68EFC77D2FD521768264E
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
MD5DADAB67A63468319DE624AC1F9E9270C
PackageArcharmv7hl
PackageDescriptionFit 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.
PackageNameR-brglm
PackageRelease3.181
PackageVersion0.5_9
SHA-1E1418144096C01506951904A8E9D9C6C63F16D05
SHA-256093D7FC9E2E0E8C3849BB70087382299EDCCC03D91CE43789CEE8A458080E895