| robflreg-package | Robust function-on-function regression |
| fpqr | Function-on-function partial quantile regression |
| fpqr_dgp | Generate a dataset for the function-on-function regression model |
| generate.ff.data | Generate functional data for the function-on-function regression model |
| generate.sf.data | Generate functional data for the scalar-on-function regression model |
| get.ff.coeffs | Get the estimated bivariate regression coefficient functions for function-on-function regression model |
| get.sf.coeffs | Get the estimated regression coefficient functions for scalar-on-function regression model |
| getPCA | Functional principal component analysis |
| getPCA.test | Get the functional principal component scores for a given test sample |
| MaryRiverFlow | Hourly River Flow Measurements in the Mery River |
| plot_ff_coeffs | Image plot of bivariate regression coefficient functions of a function-on-function regression model |
| plot_sf_coeffs | Plot of regression coefficient functions of a scalar-on-function regression model |
| predict_ff_regression | Prediction for a function-on-function regression model |
| predict_fpqr | Prediction for a function-on-function linear quantile regression model based on functional partial quantile regression |
| predict_sffr2SLS | Out-of-sample prediction for Penalised Spatial FoFR models |
| predict_sf_regression | Prediction for a scalar-on-function regression model |
| rob.ff.reg | Robust function-on-function regression |
| rob.out.detect | Outlier detection in the functional response |
| rob.sf.reg | Robust scalar-on-function regression |
| robflreg | Robust function-on-function regression |
| sffr_pen2SLS | Penalised Spatial Two-Stage Least Squares for SFoFR |
| sff_dgp | Simulate data from a Spatial Function-on-Function Regression model |