accuracy_arima          Calculate accuracy measue based on ARIMA models
accuracy_ets            Forecast-accuracy calculation
accuracy_mstl           Calculate accuracy based on MSTL
accuracy_nn             Calculate accuracy measure calculated based on
                        neural network forecasts
accuracy_rw             Calculate accuracy measure based on random walk
                        models
accuracy_rwd            Calculate accuracy measure based on random walk
                        with drift
accuracy_snaive         Calculate accuracy measure based on snaive
                        method
accuracy_stlar          Calculate accuracy measure based on STL-AR
                        method
accuracy_tbats          Calculate accuracy measure based on TBATS
accuracy_theta          Calculate accuracy measure based on Theta
                        method
accuracy_wn             Calculate accuracy measure based on white noise
                        process
acf5                    Autocorrelation-based features
acf_seasonalDiff        Autocorrelation coefficients based on
                        seasonally differenced series
build_rf                build random forest classifier
cal_MASE                Mean Absolute Scaled Error(MASE)
cal_WA                  Weighted Average
cal_features            Calculate features for new time series
                        instances
cal_m4measures          Mean of MASE and sMAPE
cal_medianscaled        scale MASE and sMAPE by median
cal_sMAPE               symmetric Mean Absolute Pecentage Error(sMAPE)
classify_labels         Classify labels according to the FFORMS
                        famework
classlabel              identify the best forecasting method
combination_forecast_inside
                        This function is call to be inside
                        fforms_combination
convert_msts            Convert multiple frequency time series into
                        msts object
e_acf1                  Autocorrelation coefficient at lag 1 of the
                        residuals
fcast_accuracy          calculate forecast accuracy from different
                        forecasting methods
fforms_combinationforecast
                        Combination forecast based on fforms
fforms_ensemble         Function to identify models to compute
                        combination forecast using FFORMS algorithm
holtWinter_parameters   Parameter estimates of Holt-Winters seasonal
                        method
prepare_trainingset     preparation of training set
rf_forecast             function to calculate point forecast, 95%
                        confidence intervals, forecast-accuracy for new
                        series
sim_arimabased          Simulate time series based on ARIMA models
sim_etsbased            Simulate time series based on ETS models
sim_mstlbased           Simulate time series based on multiple seasonal
                        decomposition
split_names             split the names of ARIMA and ETS models
stlar                   STL-AR method
unitroot                Unit root test statistics
