Imports: dplyr, glue, timetk, sweep, tibbletime (>= 0.1.3), purrr,
rlang, tibble, tidyr (>= 1.0.0), ggplot2, cli, crayon,
Suggests: tidyverse, tidyquant, stringr, testthat (>= 2.1.0), covr,

Imports: dplyr, glue, timetk, sweep, tibbletime (>= 0.1.5), purrr,

Description: An implementation of CAPA (Collective And Point Anomaly) by Fisch, Eckley and Fearnhead (2018) <arXiv:1806.01947> for the detection of anomalies in time series data. The package also contains Kepler lightcurve data and shows how CAPA can be applied to detect exoplanets.

Description: An implementation of CAPA (Collective And Point Anomaly) for the detection of anomalies in time series data. The package also contains Kepler lightcurve data and shows how CAPA can be applied to detect exoplanets.

Description: Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, and Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059> methods for the detection of anomalies in time series data.

Description: Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059>, and Bayesian Abnormal Region Detector (BARD) <doi:10.1214/16-BA998> methods for the detection of anomalies in time series data.

Description: Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059>, and Bayesian Abnormal Region Detector (BARD) <doi:10.1214/16-BA998> methods for the detection of anomalies in time series data. Also includes sequential versions of CAPA and MVCAPA <arXiv:2009.06670>.

Description: Implements Collective And Point Anomaly (CAPA) <arXiv:1806.01947>, Multi-Variate Collective And Point Anomaly (MVCAPA) <arXiv:1909.01691>, Proportion Adaptive Segment Selection (PASS) <doi:10.1093/biomet/ass059>, and Bayesian Abnormal Region Detector (BARD) <arXiv:1412.5565> methods for the detection of anomalies in time series data. Also includes sequential versions of CAPA and MVCAPA <arXiv:2009.06670>.