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