Result for 00050EACE060A9167778ED484CBC261D986FF162

Query result

Key Value
FileName./usr/lib64/R/library/brglm/R/brglm.rdx
FileSize589
MD59BB0F8CECBE4F42FB540AB1DBF915DBA
SHA-100050EACE060A9167778ED484CBC261D986FF162
SHA-256A728439D2E61B399870DC3C22375CE20AA7DFAD42BE8341689BDB050D72C2DDB
SSDEEP12:XvLxtuBc1MuxjxJ/ucKxSCBeLW8ht0lJiH1diJMQajJ3rtEE/n:XvFIojxxuNu7hqo1diJwjNrrn
TLSHT10EF047B1F479E751502C247C4413D52732C16DDB7849E65C1FE508573021663151479F
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
MD5C5261CF61DC5F5DFC070A11AE84BC53E
PackageArchx86_64
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
PackageReleaselp154.1.1
PackageVersion0.7.2
SHA-1EE999711DC4EA8E3C24BA525E5D2F7C7C91709AE
SHA-2564A886644D8DB971EA4BD966618C998085C414B5CBE0FCFE5A460698CD1F9841D