bbsc |
Constrained Base-learners for Scalar Covariates |
bconcurrent |
Base-learners for Functional Covariates |
bhist |
Base-learners for Functional Covariates |
bolsc |
Constrained Base-learners for Scalar Covariates |
brandomc |
Constrained Base-learners for Scalar Covariates |
bsignal |
Base-learners for Functional Covariates |
coef.FDboost |
Coefficients of boosted functional regression model |
cvLong |
Cross-Validation and Bootstrapping over Curves |
cvMa |
Cross-Validation and Bootstrapping over Curves |
extract.blg |
Extract information of a base-learner |
FDboost |
Model-based Gradient Boosting for Functional Response |
fitted.FDboost |
Fitted values of a boosted functional regression model |
fuelSubset |
Spectral data of fossil fuels |
funMRD |
Functional MRD |
funMSE |
Functional MSE |
funplot |
Plot functional data with linear interpolation of missing values |
funRsquared |
Functional R-squared |
integrationWeights |
Functions to compute integration weights |
integrationWeightsLeft |
Functions to compute integration weights |
mstop.validateFDboost |
Methods for objects of class validateFDboost |
o_control |
Function to control estimation of smooth offset |
plot.FDboost |
Plot the fit or the coefficients of a boosted functional regression model |
plot.validateFDboost |
Methods for objects of class validateFDboost |
plotPredCoef |
Methods for objects of class validateFDboost |
plotPredicted |
Plot the fit or the coefficients of a boosted functional regression model |
plotResiduals |
Plot the fit or the coefficients of a boosted functional regression model |
predict.FDboost |
Prediction for boosted functional regression model |
print.FDboost |
Print a boosted functional regression model |
residuals.FDboost |
Residual values of a boosted functional regression model |
summary.FDboost |
Summary of a boosted functional regression model |
truncateTime |
Function to truncate time in functional data |
validateFDboost |
Cross-Validation and Bootstrapping over Curves |
viscosity |
Viscosity of resin over time |