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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[](http://www.rdocumentation.org/packages/cbar)