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