dplyr, glue, timetk, sweep, tibbletime (>= 0.1.3), purrr,
rlang, tibble, tidyr (>= 1.0.0), ggplot2, cli, crayon,
rstudioapi
tidyverse, tidyquant, stringr, testthat (>= 2.1.0), covr,
knitr, rmarkdown, devtools, roxygen2

dplyr, glue, timetk, sweep, tibbletime (>= 0.1.5), purrr,
rlang, tibble, tidyr (>= 1.0.0), ggplot2, cli, crayon,
rstudioapi

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.
Alex Fisch [aut],
Daniel Grose [ctb, cre],
Idris Eckley [ths],
Paul Fearnhead [ths]

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.

c(person("Alex","Fisch",email="a.t.fisch@lancaster.ac.uk",role=c("aut")),
person("Daniel","Grose",email="dan.grose@lancaster.ac.uk",role=c("aut","cre")),
person("Lawrence","Bardwell",email="l.bardwell@lancaster.ac.uk",role=c("ctb")),
person("Idris","Eckley",email="i.eckley@lancaster.ac.uk",role=c("ths")),
person("Paul","Fearnhead",email="p.fearnhead@lancaster.ac.uk",role=c("ths")))
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.
Alex Fisch [aut],
Daniel Grose [aut, cre],
Lawrence Bardwell [ctb],
Idris Eckley [ths],
Paul Fearnhead [ths]

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.