- General overview of Multimodeler
- Importing xlsx file, saving workspace as xlsx file
- Calculating descriptive statistics
- Performing covariance analysis
- Autocorrelation analysis
- Cross-correlation analysis
- Plotting
- Frequency analysis (FFT functionality) and estimating seasonality period
- Sensitivity analysis
- Mathematical operations on single series
- Mathematical operations on two series
- Detrending operations
- Applying Baxter-King filter
- Applying symmetric Christiano-Fitzgerald filter
- Applying asymmetric Christiano-Fitzgerald filter
- Applying Hodrick-Prescott filter
- Augmented Dickey-Fuller unit root test
- Kwiatkowski-Phillips-Schmidt-Shin (KPSS) unit root test
- Phillips-Perron unit root test
- Seasonal adjustment
- Linear regression modeling
- Autoregressive (AR) modeling & forecasting (OLS solver)
- Moving average (MA) modeling & forecasting (OLS solver)
- Autoregressive moving average (ARMA) modeling & forecasting (OLS solver)
- Autoregressive integrated moving average (ARIMA) modeling & forecasting (OLS solver)
- Seasonal autoregressive integrated moving average (SARIMA) modeling & forecasting (OLS solver)
- Autoregressive integrated moving average with exogenous variables (ARIMAX) modeling & forecasting (OLS solver)
- Seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) modeling & forecasting (OLS solver)
- CHANGE! Autoregressive (AR) modeling & forecasting (MLE solver)
- Moving average (MA) modeling & forecasting (MLE solver)
- Autoregressive moving average (ARMA) modeling & forecasting (MLE solver)
- Autoregressive integrated moving average (ARIMA) modeling & forecasting (MLE solver)
- Seasonal autoregressive integrated moving average (SARIMA) modeling & forecasting (MLE solver)
- Autoregressive integrated moving average with exogenous variables (ARIMAX) modeling & forecasting (MLE solver)
- Seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) modeling & forecasting (MLE solver)
- Simple exponential smoothing model & forecasting
- Holt’s linear modeling & forecasting
- Holt-Winters modeling & forecasting
- ARCH modeling & forecasting
- GARCH modeling & forecasting
- Vector autoregressive (VAR) modeling & forecasting
- Vector autoregressive moving average (VARMA) modeling & forecasting
- Vector autoregressive moving average with exogenous variables (VARMA) modeling & forecasting
- Performing Engle-Granger test
- Error correction model & forecasting
- Johansen cointegration test
- Vector error correction model (VECM) modeling & forecasting
- State-space modeling with Kalman filtering & forecasting
- Cobb-Douglas type modeling & forecasting
- Exponential growth/decay modeling & forecasting
- Logistic (s-curve) modeling & forecasting
- Constant elasticity of substitution modeling & forecasting
- Power modeling & forecasting
- Rectangular hyperbola modeling & forecasting
- Shifted hyperbola modeling & forecasting
- Michaelis-Menten type modeling & forecasting
- Autoregressive artificial neural network (AR-ANN) modeling & forecasting
- Input-output type neural network (X-ANN) modeling & forecasting
- Autoregressive artificial neural network with exogenous variables (ARX-ANN) modeling & forecasting
- Autoregressive deep learning network (AR-DLN) modeling & forecasting
- Input-output type deep learning network (X-DLN) modeling & forecasting
- Autoregressive deep learning network with exogenous variables (ARX-DLN) modeling & forecasting