Man pages for smooth
Forecasting Using State Space Models
| accuracy | Error measures for an estimated model |
| adam | ADAM is Augmented Dynamic Adaptive Model |
| ces | Complex Exponential Smoothing |
| cma | Centered Moving Average |
| es | Exponential Smoothing in SSOE state space model |
| forecast.smooth | Forecasting time series using smooth functions |
| gum | Generalised Univariate Model |
| isFunctions | Smooth classes checkers |
| msarima | Multiple Seasonal ARIMA |
| msdecompose | Multiple seasonal classical decomposition |
| multicov | Function returns the multiple steps ahead covariance matrix... |
| oes | Occurrence ETS model |
| oesg | Occurrence ETS, general model |
| orders | Functions that extract values from the fitted model |
| plot.smooth | Plots for the fit and states |
| pls | Prediction Likelihood Score |
| reapply | Reapply the model with randomly generated initial parameters... |
| reexports | Objects exported from other packages |
| rmultistep | Multiple steps ahead forecast errors |
| sim.ces | Simulate Complex Exponential Smoothing |
| sim.es | Simulate Exponential Smoothing |
| sim.gum | Simulate Generalised Exponential Smoothing |
| sim.oes | Simulate Occurrence Part of ETS model |
| sim.sma | Simulate Simple Moving Average |
| sim.ssarima | Simulate SSARIMA |
| sma | Simple Moving Average |
| smooth | Smooth package |
| smoothCombine | Combination of forecasts of state space models |
| sowhat | Function returns the ultimate answer to any question |
| ssarima | State Space ARIMA |
