R: Estimation, Variable Selection and Prediction for Functional Semiparametric Models

# Estimation, Variable Selection and Prediction for Functional Semiparametric Models

## Documentation for package ‘fsemipar’ version 1.1.1

- DESCRIPTION file

## Help Pages

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