FDboost v1.0-0

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by David Ruegamer View Source

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. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.

Functions in FDboost

Name	Description
applyFolds	Cross-Validation and Bootstrapping over Curves
anisotropic_Kronecker	Kronecker product or row tensor product of two base-learners with anisotropic penalty
funRsquared	Functional R-squared
funMSE	Functional MSE
FDboostLSS	Model-based Gradient Boosting for Functional GAMLSS
getTime	Generic functions to asses attributes of functional data objects
hmatrix	A S3 class for univariate functional data on a common grid
funplot	Plot functional data with linear interpolation of missing values
plot.FDboost	Plot the fit or the coefficients of a boosted functional regression model
wide2long	Transform id and time of wide format into long format
residuals.FDboost	Residual values of a boosted functional regression model
plot.bootstrapCI	Methods for objects of class bootstrapCI
reweightData	Function to Reweight Data
bbsc	Constrained Base-learners for Scalar Covariates
%Xc%	Constrained row tensor product
getTime.hmatrix	Extract attributes of hmatrix
update.FDboost	Function to update FDboost objects
truncateTime	Function to truncate time in functional data
FDboost-package	FDboost: Boosting Functional Regression Models
integrationWeights	Functions to compute integration weights
fuelSubset	Spectral data of fossil fuels
funMRD	Functional MRD
mstop.validateFDboost	Methods for objects of class validateFDboost
predict.FDboost	Prediction for boosted functional regression model
stabsel.FDboost	Stability Selection
FDboost	Model-based Gradient Boosting for Functional Response
bsignal	Base-learners for Functional Covariates
[.hmatrix	Extract or replace parts of a hmatrix-object
subset_hmatrix	Subsets hmatrix according to an index
emotion	EEG and EMG recordings in a computerised gambling study
cvrisk.FDboostLSS	Cross-validation for FDboostLSS
summary.FDboost	Print and summary of a boosted functional regression model
coef.FDboost	Coefficients of boosted functional regression model
bootstrapCI	Function to compute bootstrap confidence intervals
bhistx	Base-learners for Functional Covariates
is.hmatrix	Test to class of hmatrix
extract.blg	Extract information of a base-learner
fitted.FDboost	Fitted values of a boosted functional regression model
o_control	Function to control estimation of smooth offset
validateFDboost	Cross-Validation and Bootstrapping over Curves
viscosity	Viscosity of resin over time
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Vignettes of FDboost

Name
FLAM_canada.Rnw
FLAM_fuel.Rnw
FLAM_viscosity.Rnw
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Details

Type	Package
Date	2020-08-31
License	GPL-2
Packaged	2020-09-08 07:53:29 UTC; david
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	7.1.1
BugReports	https://github.com/boost-R/FDboost/issues
URL	https://github.com/boost-R/FDboost
VignetteBuilder	knitr
NeedsCompilation	no
Repository	CRAN
Date/Publication	2020-09-08 12:40:40 UTC

suggests	fda , fields , ggplot2 , knitr , mapdata , maps , refund , testthat
imports	gamboostLSS (>= 2.0-0) , graphics , grDevices , MASS , Matrix , methods , mgcv , stabs , stats , utils , zoo
depends	mboost (>= 2.9-0) , R (>= 3.5.0)
Contributors	Sarah Brockhaus, Torsten Hothorn, with contributions by many others (see inst/CONTRIBUTIONS), Almond Stoecker