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FDboost (version 1.1-3)

Boosting Functional Regression Models

Description

Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) .

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Version

Install

install.packages('FDboost')

Monthly Downloads

3,727

Version

1.1-3

License

GPL-2

Issues

4

Pull Requests

0

Stars

21

Forks

7

Maintainer

David Ruegamer

Last Published

August 23rd, 2025

Functions in FDboost (1.1-3)

clr

Clr and inverse clr transformation
coef.FDboost

Coefficients of boosted functional regression model
funMRD

Functional MRD
emotion

EEG and EMG recordings in a computerised gambling study
cvrisk.FDboostLSS

Cross-validation for FDboostLSS
factorize

Factorize tensor product model
fitted.FDboost

Fitted values of a boosted functional regression model
fuelSubset

Spectral data of fossil fuels
bsignal

Base-learners for Functional Covariates
o_control

Function to control estimation of smooth offset
funMSE

Functional MSE
funRsquared

Functional R-squared
hmatrix

A S3 class for univariate functional data on a common grid
extract.blg

Extract information of a base-learner
is.hmatrix

Test to class of hmatrix
integrationWeights

Functions to compute integration weights
getTime.hmatrix

Extract attributes of hmatrix
funplot

Plot functional data with linear interpolation of missing values
getTime

Generic functions to asses attributes of functional data objects
%Xc%

Constrained row tensor product
predict.FDboost_fac

Prediction and plotting for factorized FDboost model components
subset_hmatrix

Subsets hmatrix according to an index
reweightData

Function to Reweight Data
stabsel.FDboost

Stability Selection
plot.bootstrapCI

Methods for objects of class bootstrapCI
plot.FDboost

Plot the fit or the coefficients of a boosted functional regression model
[.hmatrix

Extract or replace parts of a hmatrix-object
predict.FDboost

Prediction for boosted functional regression model
mstop.validateFDboost

Methods for objects of class validateFDboost
residuals.FDboost

Residual values of a boosted functional regression model
truncateTime

Function to truncate time in functional data
update.FDboost

Function to update FDboost objects
summary.FDboost

Print and summary of a boosted functional regression model
wide2long

Transform id and time of wide format into long format
validateFDboost

Cross-Validation and Bootstrapping over Curves
viscosity

Viscosity of resin over time
anisotropic_Kronecker

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

`FDboost_fac` S3 class for factorized FDboost model components
FDboost-package

FDboost: Boosting Functional Regression Models
bhistx

Base-learners for Functional Covariates
bootstrapCI

Function to compute bootstrap confidence intervals
applyFolds

Cross-Validation and Bootstrapping over Curves
FDboost

Model-based Gradient Boosting for Functional Response
bbsc

Constrained Base-learners for Scalar Covariates
birthDistribution

Densities of live births in Germany
FDboostLSS

Model-based Gradient Boosting for Functional GAMLSS