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.

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cbar 0.1.3

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Reference manual

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install.packages("cbar")

0.1.3 by Kim Seonghyun, 4 months ago


https://github.com/zedoul/cbar


Report a bug at https://github.com/zedoul/cbar/issues


Browse source code at https://github.com/cran/cbar


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