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 |

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 |

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 |

FDboost | Model-based Gradient Boosting for Functional Response |

FDboostLSS | Model-based Gradient Boosting for Functional GAMLSS |

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.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 |

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 |

_PACKAGE | FDboost: Boosting Functional Regression Models |