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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "roboBayes" in publications use:'
type: software
license: GPL-2.0-only
title: 'roboBayes: Robust Online Bayesian Monitoring'
version: '1.2'
doi: 10.32614/CRAN.package.roboBayes
abstract: An implementation of Bayesian online changepoint detection (Adams and MacKay
  (2007) <arXiv:0710.3742>) with an option for probability based outlier detection
  and removal (Wendelberger et. al. (2021) <arXiv:2112.12899>). Building on the independent
  multivariate constant mean model implemented in the 'R' package 'ocp', this package
  models multivariate data as multivariate normal about a linear trend, defined by
  user input covariates, with an unstructured error covariance. Changepoints are identified
  based on a probability threshold for windows of points.
authors:
- family-names: Wendelberger
  given-names: Laura
- family-names: Gray
  given-names: Josh
- family-names: Reich
  given-names: Brian
- family-names: Wilson
  given-names: Alyson
- family-names: Holloway
  given-names: Shannon T.
  email: shannon.t.holloway@gmail.com
repository: https://CRAN.R-project.org/package=roboBayes
date-released: '2023-12-13'
contact:
- family-names: Holloway
  given-names: Shannon T.
  email: shannon.t.holloway@gmail.com