# Forecasting Using State Space Models

## Documentation for package ‘smooth’ version 4.4.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

smooth-package | Smooth package
accuracy.smooth | Error measures for an estimated model
accuracy.smooth.forecast | Error measures for an estimated model
adam | ADAM is Augmented Dynamic Adaptive Model
auto.adam | ADAM is Augmented Dynamic Adaptive Model
auto.ces | Complex Exponential Smoothing
auto.gum | Generalised Univariate Model
auto.msarima | Multiple Seasonal ARIMA
auto.ssarima | State Space ARIMA
ces | Complex Exponential Smoothing
cma | Centered Moving Average
es | Exponential Smoothing in SSOE state space model
forecast | Forecasting time series using smooth functions
forecast.adam | Forecasting time series using smooth functions
forecast.msdecompose | Forecasting time series using smooth functions
forecast.oes | Forecasting time series using smooth functions
forecast.smooth | Forecasting time series using smooth functions
gum | Generalised Univariate Model
is.adam | Smooth classes checkers
is.adam.sim | Smooth classes checkers
is.msarima | Smooth classes checkers
is.msdecompose | Smooth classes checkers
is.msdecompose.forecast | Smooth classes checkers
is.oes | Smooth classes checkers
is.oesg | Smooth classes checkers
is.smooth | Smooth classes checkers
is.smooth.forecast | Smooth classes checkers
is.smooth.sim | Smooth classes checkers
is.smoothC | Smooth classes checkers
lags | Functions that extract values from the fitted model
modelName | Functions that extract values from the fitted model
modelType | Functions that extract values from the fitted model
msarima | Multiple Seasonal ARIMA
msdecompose | Multiple seasonal classical decomposition
multicov | Function returns the multiple steps ahead covariance matrix of forecast errors
multicov.smooth | 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
plot.msdecompose | Plots for the fit and states
plot.smooth | Plots for the fit and states
pls | Prediction Likelihood Score
pls.smooth | Prediction Likelihood Score
reapply | Reapply the model with randomly generated initial parameters and produce forecasts
reforecast | 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
simulate.adam | ADAM is Augmented Dynamic Adaptive Model
sm.adam | ADAM is Augmented Dynamic Adaptive Model
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