accuracy | Accuracy measures for forecast model |
Arima | Fit ARIMA model to univariate time series |
arima.errors | ARIMA errors |
auto.arima | Fit best ARIMA model to univariate time series |
best.arima | Fit best ARIMA model to univariate time series |
BoxCox | Box Cox Transformation |
croston | Forecasts for intermittent demand using Croston's method |
dm.test | Diebold-Mariano test for predictive accuracy |
ets | Exponential smoothing state space model |
fitted.Arima | One-step in-sample forecasts using ARIMA models |
forecast | Forecasting time series |
forecast.ar | Forecasting using ARIMA models |
forecast.Arima | Forecasting using ARIMA models |
forecast.default | Forecasting time series |
forecast.ets | Forecasting using ETS models |
forecast.HoltWinters | Forecasting using Holt-Winters objects |
forecast.StructTS | Forecasting using Structural Time Series models |
forecast.ts | Forecasting time series |
gas | Australian monthly gas production |
gold | Daily morning gold prices |
holt | Exponential smoothing forecasts |
hw | Exponential smoothing forecasts |
InvBoxCox | Box Cox Transformation |
logLik.ets | Log-Likelihood of an ets object |
meanf | Mean Forecast |
monthdays | Number of days in each season |
na.interp | Interpolate missing values in a time series |
ndiffs | Number of differences |
plot.ets | Plot components from ETS model |
plot.forecast | Forecast plot |
plot.splineforecast | Forecast plot |
print.forecast | Forecasting time series |
rwf | Random Walk Forecast |
seasadj | Seasonal adjustment |
seasonaldummy | Seasonal dummy variables |
seasonaldummyf | Seasonal dummy variables |
seasonplot | Seasonal plot |
ses | Exponential smoothing forecasts |
simulate.ets | Simulation from an ETS model |
sindexf | Forecast seasonal index |
splinef | Cubic Spline Forecast |
summary.forecast | Forecasting time series |
thetaf | Theta method forecast |
tsdisplay | Time series display |
wineind | Australian total wine sales |
woolyrnq | Quarterly production of woollen yarn in Australia |