FDboost

Model-based Gradient Boosting for Functional Response

FDboost: Boosting Functional Regression Models

Model-based Gradient Boosting for Functional GAMLSS

Kronecker product or row tensor product of two base-learners with anisotropic penalty

Cross-Validation and Bootstrapping over Curves

Constrained Base-learners for Scalar Covariates

Base-learners for Functional Covariates

Function to compute bootstrap confidence intervals

Base-learners for Functional Covariates

Coefficients of boosted functional regression model

Cross-validation for FDboostLSS

EEG and EMG recordings in a computerised gambling study

Extract information of a base-learner

Fitted values of a boosted functional regression model

Spectral data of fossil fuels

Functional MRD

Functional MSE

Functional R-squared

Plot functional data with linear interpolation of missing values

Generic functions to asses attributes of functional data objects

Extract attributes of hmatrix

Constrained row tensor product

A S3 class for univariate functional data on a common grid

Functions to compute integration weights

Test to class of hmatrix

Function to control estimation of smooth offset

Plot the fit or the coefficients of a boosted functional regression model

Methods for objects of class bootstrapCI

Methods for objects of class validateFDboost

Prediction for boosted functional regression model

Residual values of a boosted functional regression model

Function to Reweight Data

Stability Selection

Extract or replace parts of a hmatrix-object

Subsets hmatrix according to an index

Print and summary of a boosted functional regression model

Function to truncate time in functional data

Function to update FDboost objects

Cross-Validation and Bootstrapping over Curves

Viscosity of resin over time

Transform id and time of wide format into long format