tsforecast_smoothing: 2 tools.
Inputs, limits and outputs are described in Fincept TS Forecast. Full schemas:
fincept_describe_tool.Documentation Index
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Automatic ETS state-space models, Holt and Holt-Winters, simple and seasonal exponential smoothing, complex exponential smoothing, and the standard, optimized and dynamic Theta methods: smoothing weights, damping, initial states, AIC/AICc/BIC and forecasts with intervals.
tsforecast_smoothing: 2 tools.
| Tool | What it does | Notes |
|---|---|---|
tsforecast_ets | Fits exponential-smoothing models to one series (y) or every series of a panel (data): automatic ETS (error/trend/season components and damping chosen by AICc, or given as e.g. MAM), Holt, Holt-Winters, simple and seasonal exponential smoothing (given or fitted alpha) and complex exponential smoothing. | |
tsforecast_theta | Fits Theta-method models to one series (y) or every series of a panel (data): standard Theta (theta = 2), optimized Theta, the dynamic variants and AutoTheta (best of the four by in-sample error), after a classical multiplicative or additive deseasonalization when the series is seasonal. |
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