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Implementation of the angle-based outlier factor in R. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.
The package is available on CRAN:
install.packages("abodOutlier")
library(abodOutlier)abod(faithful, method = "randomized", n_sample_size = 30)
abod(faithful, method = "knn", k = 20)MIT Licensed.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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