Man pages for SMAC-Group/exts
Experimental Features for Time Series
| best_model | Select the best model |
| compare_acf | Calculate both Classical and Robust ACF |
| diag_boxpierce | Box-Pierce |
| diag_fitted | Bind Fitted and Residual Values |
| diag_ljungbox | Ljung-Box |
| diag_portmanteau | Graph Portmanteau Test Results |
| diag_qq | QQ Normal plot functionality |
| diag_resid | Residuals of the Process |
| diag_ts | Time Series Diagnostics |
| diag_wv | Wavelet Variance (WV) fit for White Noise |
| eda_change | Viable Transforms |
| eda_ts | EDA on Time Series |
| emp_acf | Empirical ACF Plot |
| emp_corr | Compute Empirical ACF and PACF |
| emp_pacf | Empirical PACF |
| is.diag_resid | Check is class |
| plot.acf_plot | Plot ACF-like graphs |
| plot.diag_fitted | Plot Fitted vs. Residual |
| plot.diag_qq | QQ Normal Plot |
| plot.diag_resid | Graph the Distribution of Residuals |
| plot.diag_ts | Graph Time Series Diagnostic |
| plot.diag_wv | Graph the Wavelet Variance (WV) Estimation of the White Noise |
| plot.eda_change | Plot Different Time Series Transforms |
| plot.eda_ts | Visualize EDA on Time Series |
| plot.emp_acf | Auto-Covariance and Correlation Functions |
| plot.emp_corr | Plot Empirical Autocorrelation (ACF) for ARMA Models |
| plot.select_arima | Plot ARIMA Selection Matrix |
| plot.theo_arma | Plot Theoretical Autocorrelation (ACF) for ARMA Models |
| plot.theo_corr | Plot Theoretical Autocorrelation (ACF) for ARMA Models |
| select_arima | Run Model Selection Criteria on ARIMA Models |
| select_comp | Visualize Select Model Functions |
| theo_acf | Computes the Theoretical Autocorrelation (ACF) of an ARMA... |
| theo_corr | Compute Theoretical ACF and PACF |
| theo_pacf | Computes the Theoretical Partial Autocorrelation (PACF) of an... |
