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FDboost (version 1.0-0)

Boosting Functional Regression Models

Description

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) .

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Version

Install

install.packages('FDboost')

Monthly Downloads

914

Version

1.0-0

License

GPL-2

Issues

4

Pull Requests

1

Stars

20

Forks

7

Maintainer

David Ruegamer

Last Published

September 8th, 2020

Functions in FDboost (1.0-0)

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