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: | 0.1.3 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Boom, bsts, dplyr, magrittr, ggplot2, stats |
| Suggests: | datasets, knitr, testthat |
| Published: | 2017-10-24 |
| Author: | Kim Seonghyun |
| Maintainer: | Kim Seonghyun <shyeon.kim at scipi.net> |
| BugReports: | https://github.com/zedoul/cbar/issues |
| License: | Apache License 2.0 | file LICENSE |
| URL: | https://github.com/zedoul/cbar |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | cbar results |
| Reference manual: | cbar.pdf |
| Package source: | cbar_0.1.3.tar.gz |
| Windows binaries: | r-devel: cbar_0.1.3.zip, r-release: cbar_0.1.3.zip, r-oldrel: cbar_0.1.3.zip |
| macOS binaries: | r-release: cbar_0.1.3.tgz, r-oldrel: cbar_0.1.3.tgz |
| Old sources: | cbar archive |
Please use the canonical form https://CRAN.R-project.org/package=cbar to link to this page.