The package is an R implementation of the Inverse Bagging algorithm. Given two sets: a training one containing observations from a certain distribution and a testing one which can include as well anomalous observations generated from a different unknown distribution; the algorithm returns scores for the testing set observations related to evidence of their anomalous propoerties.
|Maintainer||Grzegorz Kotkowski <email@example.com>|
|Package repository||View on GitHub|
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