accuracy.smooth         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.adam           Forecasting time series using smooth functions
gum                     Generalised Univariate Model
is.smooth               Smooth classes checkers
msarima                 Multiple Seasonal ARIMA
msdecompose             Multiple seasonal classical decomposition
multicov                Function returns the multiple steps ahead
                        covariance matrix of forecast errors
oes                     Occurrence ETS model
oesg                    Occurrence ETS, general model
orders                  Functions that extract values from the fitted
                        model
plot.adam               Plots for the fit and states
pls                     Prediction Likelihood Score
reapply                 Reapply the model with randomly generated
                        initial parameters and produce forecasts
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
sparma                  Sparse ARMA Model in State Space Form
ssarima                 State Space ARIMA
