| fsemipar-package | Estimation, Variable Selection and Prediction for Functional Semiparametric Models |
| FASSMR.kernel.fit | Impact point selection with FASSMR and kernel estimation |
| FASSMR.kNN.fit | Impact point selection with FASSMR and kNN estimation |
| fsemipar | Estimation, Variable Selection and Prediction for Functional Semiparametric Models |
| fsemipar.internal | Package fsemipar internal functions |
| fsim.kernel.fit | Functional single-index model fit using kernel estimation and joint LOOCV minimisation |
| fsim.kernel.fit.optim | Functional single-index model fit using kernel estimation and iterative LOOCV minimisation |
| fsim.kernel.test | Functional single-index kernel predictor |
| fsim.kNN.fit | Functional single-index model fit using kNN estimation and joint LOOCV minimisation |
| fsim.kNN.fit.optim | Functional single-index model fit using kNN estimation and iterative LOOCV minimisation |
| fsim.kNN.test | Functional single-index kNN predictor |
| IASSMR.kernel.fit | Impact point selection with IASSMR and kernel estimation |
| IASSMR.kNN.fit | Impact point selection with IASSMR and kNN estimation |
| lm.pels.fit | Regularised fit of sparse linear regression |
| plot.FASSMR.kernel | Graphical representation of regression model outputs |
| plot.FASSMR.kNN | Graphical representation of regression model outputs |
| plot.fsim.kernel | Graphical representation of regression model outputs |
| plot.fsim.kNN | Graphical representation of regression model outputs |
| plot.IASSMR.kernel | Graphical representation of regression model outputs |
| plot.IASSMR.kNN | Graphical representation of regression model outputs |
| plot.lm.pels | Graphical representation of regression model outputs |
| plot.PVS | Graphical representation of regression model outputs |
| plot.PVS.kernel | Graphical representation of regression model outputs |
| plot.PVS.kNN | Graphical representation of regression model outputs |
| plot.sfpl.kernel | Graphical representation of regression model outputs |
| plot.sfpl.kNN | Graphical representation of regression model outputs |
| plot.sfplsim.kernel | Graphical representation of regression model outputs |
| plot.sfplsim.kNN | Graphical representation of regression model outputs |
| predict.FASSMR.kernel | Prediction for SFPLSIM and MFPLSIM (using FASSMR) |
| predict.FASSMR.kNN | Prediction for SFPLSIM and MFPLSIM (using FASSMR) |
| predict.fsim.kernel | Prediction for FSIM |
| predict.fsim.kNN | Prediction for FSIM |
| predict.IASSMR.kernel | Prediction for MFPLSIM |
| predict.IASSMR.kNN | Prediction for MFPLSIM |
| predict.lm.pels | Prediction for linear models |
| predict.PVS | Prediction for linear models |
| predict.PVS.kernel | Prediction for MFPLM |
| predict.PVS.kNN | Prediction for MFPLM |
| predict.sfpl.kernel | Predictions for SFPLM |
| predict.sfpl.kNN | Predictions for SFPLM |
| predict.sfplsim.kernel | Prediction for SFPLSIM and MFPLSIM (using FASSMR) |
| predict.sfplsim.kNN | Prediction for SFPLSIM and MFPLSIM (using FASSMR) |
| print.FASSMR.kernel | Summarise information from MFPLSIM estimation |
| print.FASSMR.kNN | Summarise information from MFPLSIM estimation |
| print.fsim.kernel | Summarise information from FSIM estimation |
| print.fsim.kNN | Summarise information from FSIM estimation |
| print.IASSMR.kernel | Summarise information from MFPLSIM estimation |
| print.IASSMR.kNN | Summarise information from MFPLSIM estimation |
| print.lm.pels | Summarise information from linear models estimation |
| print.PVS | Summarise information from linear models estimation |
| print.PVS.kernel | Summarise information from MFPLM estimation |
| print.PVS.kNN | Summarise information from MFPLM estimation |
| print.sfpl.kernel | Summarise information from SFPLM estimation |
| print.sfpl.kNN | Summarise information from SFPLM estimation |
| print.sfplsim.kernel | Summarise information from SFPLSIM estimation |
| print.sfplsim.kNN | Summarise information from SFPLSIM estimation |
| projec | Inner product computation |
| PVS.fit | Impact point selection with PVS |
| PVS.kernel.fit | Impact point selection with PVS and kernel estimation |
| PVS.kNN.fit | Impact point selection with PVS and kNN estimation |
| semimetric.projec | Projection semi-metric computation |
| sfpl.kernel.fit | SFPLM regularised fit using kernel estimation |
| sfpl.kNN.fit | SFPLM regularised fit using kNN estimation |
| sfplsim.kernel.fit | SFPLSIM regularised fit using kernel estimation |
| sfplsim.kNN.fit | SFPLSIM regularised fit using kNN estimation |
| Sugar | Sugar data |
| summary.FASSMR.kernel | Summarise information from MFPLSIM estimation |
| summary.FASSMR.kNN | Summarise information from MFPLSIM estimation |
| summary.fsim.kernel | Summarise information from FSIM estimation |
| summary.fsim.kNN | Summarise information from FSIM estimation |
| summary.IASSMR.kernel | Summarise information from MFPLSIM estimation |
| summary.IASSMR.kNN | Summarise information from MFPLSIM estimation |
| summary.lm.pels | Summarise information from linear models estimation |
| summary.PVS | Summarise information from linear models estimation |
| summary.PVS.kernel | Summarise information from MFPLM estimation |
| summary.PVS.kNN | Summarise information from MFPLM estimation |
| summary.sfpl.kernel | Summarise information from SFPLM estimation |
| summary.sfpl.kNN | Summarise information from SFPLM estimation |
| summary.sfplsim.kernel | Summarise information from SFPLSIM estimation |
| summary.sfplsim.kNN | Summarise information from SFPLSIM estimation |
| Tecator | Tecator data |