Contextual Bayesian Anomaly Detection in R

Detect contextual anomalies in time-series data with Bayesian data analysis. It focuses on determining a normal range of target value, and provides simple-to-use functions to abstract the outcome.

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This R package focuses on tools for detecting anomaly on time series, with Bayesian contextual anomaly detection.

For the details, check cbar webpage.


cbar 0.1.3

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Reference manual

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0.1.3 by Kim Seonghyun, 4 years ago

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Authors: Kim Seonghyun <[email protected]>

Documentation:   PDF Manual  

Apache License 2.0 | file LICENSE license

Imports Boom, bsts, dplyr, magrittr, ggplot2, stats

Suggests datasets, knitr, testthat

See at CRAN