README.md
In tsmodels/tsaux: Time Series Forecasting Auxiliary Functions
tsaux 
tsaux
Time series auxiliary functions used in the tsmodels packages,
grouped into the following 6 areas (see vignette for more details):
| Group | Description |
|----|----|
| Anomalies | Anomaly detection |
| Calendar/Time | Inference and conversion utilities for time/dates |
| Metrics | Performance metrics for point and distributional forecasts |
| Simulation | Simulation by parts including Trend, Seasonal, ARMA, Irregular and Anomalies |
| Transformations | Data transformations including Box-Cox, Logit, Softplus-Logit, and Sigmoid |
| Miscellaneous | Miscellaneous functions |
tsmodels/tsaux documentation built on June 1, 2025, 10:19 p.m.
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tsaux
tsaux
Time series auxiliary functions used in the tsmodels packages, grouped into the following 6 areas (see vignette for more details):
| Group | Description | |----|----| | Anomalies | Anomaly detection | | Calendar/Time | Inference and conversion utilities for time/dates | | Metrics | Performance metrics for point and distributional forecasts | | Simulation | Simulation by parts including Trend, Seasonal, ARMA, Irregular and Anomalies | | Transformations | Data transformations including Box-Cox, Logit, Softplus-Logit, and Sigmoid | | Miscellaneous | Miscellaneous functions |
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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