FDboost v0.3-2

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by Sarah Brockhaus 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.

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
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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	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)