Constrained Base-learners for Scalar Covariates
Fitted values of a boosted functional regression model
Extract information of a base-learner
Cross-validation for FDboostLSS
Base-learners for Functional Covariates
Model-based Gradient Boosting for Functional GAMLSS
Functional MRD
Base-learners for Functional Covariates
Coefficients of boosted functional regression model
Spectral data of fossil fuels
Functional MSE
Extract attributes of hmatrix
Plot functional data with linear interpolation of missing values
Functions to compute integration weights
Constrained row tensor product
Generic functions to asses attributes of functional data objects
Functional R-squared
A S3 class for univariate functional data on a common grid
Test to class of hmatrix
Function to control estimation of smooth offset
Print a boosted functional regression model
Plot the fit or the coefficients of a boosted functional regression model
Function to Reweight Data
Residual values of a boosted functional regression model
Methods for objects of class validateFDboost
Summary of a boosted functional regression model
Stability Selection
Prediction for boosted functional regression model
Extract or replace parts of a hmatrix-object
Function to truncate time in functional data
Viscosity of resin over time
Transform id and time of wide format into long format
Function to update FDboost objects
Cross-Validation and Bootstrapping over Curves
Kronecker product or row tensor product of two base-learners with anisotropic penalty
Model-based Gradient Boosting for Functional Response