roboBayes
Robust Online Bayesian Monitoring
An implementation of Bayesian online changepoint detection (Adams and MacKay (2007) doi:10.48550/arXiv.0710.3742) with an option for probability based outlier detection and removal (Wendelberger et. al. (2021) doi:10.48550/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.
- Version1.2
- R version≥ 3.5.0 methods
- LicenseGPL-2
- Needs compilation?Yes
- Adams and MacKay (2007)
- Wendelberger et. al. (2021)
- Last release12/13/2023
Documentation
Team
Shannon T. Holloway
Josh Gray
Show author detailsRolesAuthorLaura Wendelberger
Show author detailsRolesAuthorBrian Reich
Show author detailsRolesAuthorAlyson Wilson
Show author detailsRolesAuthor
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- Imports2 packages
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