# FDboost v0.3-2

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## Boosting Functional Regression Models

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.

## Functions in FDboost

Name | Description | |

FDboost-package | FDboost: Boosting Functional Regression Models | |

emotion | EEG and EMG recordings in a computerised gambling study | |

wide2long | Transform id and time of wide format into long format | |

applyFolds | Cross-Validation and Bootstrapping over Curves | |

funMRD | Functional MRD | |

predict.FDboost | Prediction for boosted functional regression model | |

mstop.validateFDboost | Methods for objects of class validateFDboost | |

[.hmatrix | Extract or replace parts of a hmatrix-object | |

validateFDboost | Cross-Validation and Bootstrapping over Curves | |

stabsel.FDboost | Stability Selection | |

viscosity | Viscosity of resin over time | |

getTime.hmatrix | Extract attributes of hmatrix | |

funplot | Plot functional data with linear interpolation of missing values | |

plot.FDboost | Plot the fit or the coefficients of a boosted functional regression model | |

bbsc | Constrained Base-learners for Scalar Covariates | |

extract.blg | Extract information of a base-learner | |

fitted.FDboost | Fitted values of a boosted functional regression model | |

plot.bootstrapCI | Methods for objects of class bootstrapCI | |

subset_hmatrix | Subsets hmatrix according to an index | |

is.hmatrix | Test to class of hmatrix | |

getTime | Generic functions to asses attributes of functional data objects | |

%Xc% | Constrained row tensor product | |

funMSE | Functional MSE | |

o_control | Function to control estimation of smooth offset | |

summary.FDboost | Print and summary of a boosted functional regression model | |

hmatrix | A S3 class for univariate functional data on a common grid | |

integrationWeights | Functions to compute integration weights | |

residuals.FDboost | Residual values of a boosted functional regression model | |

funRsquared | Functional R-squared | |

reweightData | Function to Reweight Data | |

truncateTime | Function to truncate time in functional data | |

update.FDboost | Function to update FDboost objects | |

cvrisk.FDboostLSS | Cross-validation for FDboostLSS | |

FDboostLSS | Model-based Gradient Boosting for Functional GAMLSS | |

bhistx | Base-learners for Functional Covariates | |

fuelSubset | Spectral data of fossil fuels | |

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

bootstrapCI | Function to compute bootstrap confidence intervals | |

FDboost | Model-based Gradient Boosting for Functional Response | |

bsignal | Base-learners for Functional Covariates | |

coef.FDboost | Coefficients of boosted functional regression model | |

No Results! |

## Vignettes of FDboost

Name | ||

FLAM_canada.Rnw | ||

FLAM_fuel.Rnw | ||

FLAM_viscosity.Rnw | ||

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2018-08-04 |

License | GPL-2 |

Packaged | 2018-08-04 08:55:27 UTC; Sarah |

Collate | 'aaa.R' 'FDboost-package.R' 'FDboost.R' 'baselearners.R' 'baselearnersX.R' 'bootstrapCIs.R' 'constrainedX.R' 'crossvalidation.R' 'FDboostLSS.R' 'hmatrix.R' 'methods.R' 'stabsel.R' 'utilityFunctions.R' |

RoxygenNote | 6.0.1 |

BugReports | https://github.com/boost-R/FDboost/issues |

URL | https://github.com/boost-R/FDboost |

VignetteBuilder | knitr |

NeedsCompilation | no |

Repository | CRAN |

Date/Publication | 2018-08-04 21:10:11 UTC |

suggests | fda , fields , ggplot2 , knitr , mapdata , maps , refund , testthat |

imports | gamboostLSS (>= 2.0-0) , graphics , grDevices , MASS , Matrix , mgcv , stabs , stats , utils , zoo |

depends | mboost (>= 2.8-0) , methods , R (>= 3.2.0) |

Contributors | Torsten Hothorn, David Ruegamer, with contributions by many others (see inst/CONTRIBUTIONS) |

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