Man pages for fsemipar
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.internal | Package fsemipar internal functions |
| fsemipar-package | Estimation, Variable Selection and Prediction for Functional... |
| fsim.kernel.fit | Functional single-index model fit using kernel estimation and... |
| fsim.kernel.fit.optim | Functional single-index model fit using kernel estimation and... |
| fsim.kernel.test | Functional single-index kernel predictor |
| fsim.kNN.fit | Functional single-index model fit using kNN estimation and... |
| fsim.kNN.fit.optim | Functional single-index model fit using kNN estimation and... |
| 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.classes | Graphical representation of regression model outputs |
| predict.fsim | Prediction for FSIM |
| predict.IASSMR | Prediction for MFPLSIM |
| predict.lm | Prediction for linear models |
| predict.mfplm | Prediction for MFPLM |
| predict.sfpl | Predictions for SFPLM |
| predict.sfplsim.FASSMR | Prediction for SFPLSIM and MFPLSIM (using FASSMR) |
| print.summary.fsim | Summarise information from FSIM estimation |
| print.summary.lm | Summarise information from linear models estimation |
| print.summary.mfpl | Summarise information from MFPLM estimation |
| print.summary.mfplsim | Summarise information from MFPLSIM estimation |
| print.summary.sfpl | Summarise information from SFPLM estimation |
| print.summary.sfplsim | 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 |
| Tecator | Tecator data |
