accuracy_arima()

Calculate accuracy measue based on ARIMA models 
accuracy_ets()

Forecastaccuracy 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 STLAR 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()

Autocorrelationbased 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 HoltWinters seasonal method 
prepare_trainingset()

preparation of training set 
rf_forecast()

function to calculate point forecast, 95% confidence intervals, forecastaccuracy 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()

STLAR method 
unitroot()

Unit root test statistics 