cbar v0.1.2
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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.
Readme
cbar
This R package focuses on tools for detecting anomaly on time series, with Bayesian contextual anomaly detection.
For the details, check cbar webpage.
Functions in cbar
| Name | Description | |
| bsts_model | Create bsts model | |
| bsts_spec_static | Specify bsts model for static linear regression | |
| standardized | Standardized a vector | |
| summarise_anomaly | Summarise anomaly detection result | |
| print.cbar | Print cbar object | |
| response_trajectory | Generate trajectories of the response variable | |
| inference | Infer from predictive posetrior prediction of bsts model | |
| plot_ts | Print time-series plot | |
| summarise_session | Summarise anomaly in session | |
| point_prediction | Get point prediction from posterior means and response trajectories | |
| posterior_mean | Generate posterior mean of the response variable | |
| summarise_incprob | Summarise inclusion probability of model | |
| summarise_pred_error | Summarise prediction error of model | |
| cbar | cbar package | |
| destandardized | Destandardized a vector | |
| No Results! | ||
Vignettes of cbar
| Name | ||
| contextual_anomaly.Rmd | ||
| quickstart.Rmd | ||
| No Results! | ||
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Details
| Type | Package |
| Date | 2017-08-04 |
| URL | https://github.com/zedoul/cbar |
| BugReports | https://github.com/zedoul/cbar/issues |
| License | Apache License 2.0 | file LICENSE |
| VignetteBuilder | knitr |
| LazyData | true |
| RoxygenNote | 6.0.1 |
| NeedsCompilation | no |
| Packaged | 2017-08-04 19:49:09 UTC; zedoul |
| Repository | CRAN |
| Date/Publication | 2017-08-04 20:02:41 UTC |
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