anomaly (2.0.1)

Detecting Anomalies in Data.

Implements Collective And Point Anomaly (CAPA) , Multi-Variate Collective And Point Anomaly (MVCAPA) , and Proportion Adaptive Segment Selection (PASS) methods for the detection of anomalies in time series data.

Maintainer: Daniel Grose
Author(s): Alex Fisch [aut], Daniel Grose [aut, cre], Lawrence Bardwell [ctb], Idris Eckley [ths], Paul Fearnhead [ths]

License: GPL

Uses: assertive, dplyr, ggplot2, Rcpp, Rdpack, reshape2, rlang, robust, magrittr

Released 11 days ago.