Result for 09928B208F29A4B753A8ED9BD0D3569DE13FE083

Query result

Key Value
FileName./usr/lib/R/library/brglm/help/brglm.rdb
FileSize60918
MD56CA58774EE12D18CCDF15168D2943F1A
SHA-109928B208F29A4B753A8ED9BD0D3569DE13FE083
SHA-25605CF504FDEA57A71E096DF579D057BADF88289FA05999E532B67262C6D34B452
SSDEEP1536:tMQKHF7sAcVwEdRWc8HnacLmtN4ZkmtsE+/3BWOX9Z8:iQKHFI7yES/alNcX+/sOT8
TLSHT17D53F18246827AE9473435C55737721733BBB253DA36EEA79C23E006881B12A2677279
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD51844F770F3A391FEE4FFF98594E3E7E0
PackageArchi586
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
PackageReleaselp150.3.5
PackageVersion0.5_9
SHA-1054928618816F0338B95569E9A4ED25664599750
SHA-256F02413D347C51B95A250E1891811782A9FCF93D50541B34F58F0A09E058C6BAC