The key components of dsos depend on several publicly available R packages, including:

We are grateful to the authors of each of these packages for making their software freely available.


Cortes, David. 2020. Isotree: Isolation-Based Outlier Detection.
Dowle, Matt, and Arun Srinivasan. 2020. Data.table: Extension of ‘Data.frame‘.
Gandy, Axel. 2009. “Sequential Implementation of Monte Carlo Tests with Uniformly Bounded Resampling Risk.” Journal of the American Statistical Association 104 (488): 1504–11.
Hocking, Toby Dylan. 2020. WeightedROC: Fast, Weighted ROC Curves.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.
Wright, Marvin N., and Andreas Ziegler. 2017. ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R.” Journal of Statistical Software 77 (1): 1–17.