R: Boosting Functional Regression Models

# Boosting Functional Regression Models

## Documentation for package ‘FDboost’ version 1.1-4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

FDboost-package | FDboost: Boosting Functional Regression Models
%A% | Kronecker product or row tensor product of two base-learners with anisotropic penalty
%A0% | Kronecker product or row tensor product of two base-learners with anisotropic penalty
%Xa0% | Kronecker product or row tensor product of two base-learners with anisotropic penalty
%Xc% | Constrained row tensor product
anisotropic_Kronecker | Kronecker product or row tensor product of two base-learners with anisotropic penalty
applyFolds | Cross-Validation and Bootstrapping over Curves
bbsc | Constrained Base-learners for Scalar Covariates
bconcurrent | Base-learners for Functional Covariates
bfpc | Base-learners for Functional Covariates
bhist | Base-learners for Functional Covariates
bhistx | Base-learners for Functional Covariates
birthDistribution | Densities of live births in Germany
bolsc | Constrained Base-learners for Scalar Covariates
bootstrapCI | Function to compute bootstrap confidence intervals
brandomc | Constrained Base-learners for Scalar Covariates
bsignal | Base-learners for Functional Covariates
clr | Clr and inverse clr transformation
coef.FDboost | Coefficients of boosted functional regression model
cvLong | Cross-Validation and Bootstrapping over Curves
cvMa | Cross-Validation and Bootstrapping over Curves
cvrisk.FDboost | Cross-Validation and Bootstrapping over Curves
cvrisk.FDboostLSS | Cross-validation for FDboostLSS
emotion | EEG and EMG recordings in a computerised gambling study
extract.blg | Extract information of a base-learner
factorise | Factorize tensor product model
factorize | Factorize tensor product model
factorize.FDboost | Factorize tensor product model
FDboost | Model-based Gradient Boosting for Functional Response
FDboostLSS | Model-based Gradient Boosting for Functional GAMLSS
FDboost_fac-class | 'FDboost_fac' S3 class for factorized FDboost model components
FDboost_package | FDboost: Boosting Functional Regression Models
fitted.FDboost | Fitted values of a boosted functional regression model
fuelSubset | Spectral data of fossil fuels
funMRD | Functional MRD
funMSE | Functional MSE
funplot | Plot functional data with linear interpolation of missing values
funRsquared | Functional R-squared
getArgvals | Generic functions to asses attributes of functional data objects
getArgvals.hmatrix | Extract attributes of hmatrix
getArgvalsLab | Generic functions to asses attributes of functional data objects
getArgvalsLab.hmatrix | Extract attributes of hmatrix
getId | Generic functions to asses attributes of functional data objects
getId.hmatrix | Extract attributes of hmatrix
getIdLab | Generic functions to asses attributes of functional data objects
getIdLab.hmatrix | Extract attributes of hmatrix
getTime | Generic functions to asses attributes of functional data objects
getTime.hmatrix | Extract attributes of hmatrix
getTimeLab | Generic functions to asses attributes of functional data objects
getTimeLab.hmatrix | Extract attributes of hmatrix
getX | Generic functions to asses attributes of functional data objects
getX.hmatrix | Extract attributes of hmatrix
getXLab | Generic functions to asses attributes of functional data objects
getXLab.hmatrix | Extract attributes of hmatrix
hmatrix | A S3 class for univariate functional data on a common grid
integrationWeights | Functions to compute integration weights
integrationWeightsLeft | Functions to compute integration weights
is.hmatrix | Test to class of hmatrix
mstop.validateFDboost | Methods for objects of class validateFDboost
o_control | Function to control estimation of smooth offset
package-FDboost | FDboost: Boosting Functional Regression Models
plot.bootstrapCI | Methods for objects of class bootstrapCI
plot.FDboost | Plot the fit or the coefficients of a boosted functional regression model
plot.FDboost_fac | Prediction and plotting for factorized FDboost model components
plot.validateFDboost | Methods for objects of class validateFDboost
plotPredCoef | Methods for objects of class validateFDboost
plotPredicted | Plot the fit or the coefficients of a boosted functional regression model
plotResiduals | Plot the fit or the coefficients of a boosted functional regression model
predict.FDboost | Prediction for boosted functional regression model
predict.FDboost_fac | Prediction and plotting for factorized FDboost model components
print.bootstrapCI | Methods for objects of class bootstrapCI
print.FDboost | Print and summary of a boosted functional regression model
print.validateFDboost | Methods for objects of class validateFDboost
residuals.FDboost | Residual values of a boosted functional regression model
reweightData | Function to Reweight Data
stabsel.FDboost | Stability Selection
subset_hmatrix | Subsets hmatrix according to an index
summary.FDboost | Print and summary of a boosted functional regression model
truncateTime | Function to truncate time in functional data
update.FDboost | Function to update FDboost objects
validateFDboost | Cross-Validation and Bootstrapping over Curves
viscosity | Viscosity of resin over time
wide2long | Transform id and time of wide format into long format
[.hmatrix | Extract or replace parts of a hmatrix-object