cbar: 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.

Version: 0.1.1
Depends: R (≥ 3.3.0)
Imports: Boom, bsts, dplyr, magrittr, ggplot2, stats
Suggests: datasets, knitr, testthat
Published: 2017-07-01
Author: Kim Seonghyun [aut, cre]
Maintainer: Kim Seonghyun < at>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: cbar results


Reference manual: cbar.pdf
Vignettes: quickstart
Package source: cbar_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: cbar_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: cbar_0.1.1.tgz
Old sources: cbar archive


Please use the canonical form to link to this page.