CRAN/E | roboBayes

roboBayes

Robust Online Bayesian Monitoring

Installation

About

An implementation of Bayesian online changepoint detection (Adams and MacKay (2007) ) with an option for probability based outlier detection and removal (Wendelberger et. al. (2021) ). 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.

Key Metrics

Version 1.2
R ≥ 3.5.0
Published 2023-12-13 139 days ago
Needs compilation? yes
License GPL-2
CRAN checks roboBayes results

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Maintainer

Maintainer

Shannon T. Holloway

shannon.t.holloway@gmail.com

Authors

Laura Wendelberger

aut

Josh Gray

aut

Brian Reich

aut

Alyson Wilson

aut

Shannon T. Holloway

aut / cre

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

roboBayes archive

Depends

R ≥ 3.5.0
methods

Imports

Rcpp ≥ 1.0.7
RcppArmadillo

Suggests

mvtnorm

LinkingTo

Rcpp
RcppArmadillo
RcppDist