Robust Online Bayesian Monitoring R package roboBayes version 1.3 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. Software Depends: R (>= 3.5.0), methods Imports: Rcpp (>= 1.0.7), RcppArmadillo LinkingTo: Rcpp, RcppArmadillo, RcppDist Suggests: mvtnorm Shannon T. Holloway <shannon.t.holloway@gmail.com> Comprehensive R Archive Network (CRAN) Laura Wendelberger [aut], Josh Gray [aut], Brian Reich [aut], Alyson Wilson [aut], Shannon T. Holloway [aut, cre] GPL-2 2025-05-04 application/tgz https://CRAN.R-project.org/package=roboBayes doi:10.32614/CRAN.package.roboBayes