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FDboost (version 1.1-1)

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

3,483

Version

1.1-1

License

GPL-2

Issues

4

Pull Requests

0

Stars

21

Forks

7

Maintainer

David Ruegamer

Last Published

September 27th, 2022

Functions in FDboost (1.1-1)

bootstrapCI

Function to compute bootstrap confidence intervals
bbsc

Constrained Base-learners for Scalar Covariates
FDboost-package

FDboost: Boosting Functional Regression Models
applyFolds

Cross-Validation and Bootstrapping over Curves
birthDistribution

Densities of live births in Germany
FDboostLSS

Model-based Gradient Boosting for Functional GAMLSS
FDboost_fac-class

`FDboost_fac` S3 class for factorized FDboost model components
anisotropic_Kronecker

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

Base-learners for Functional Covariates
FDboost

Model-based Gradient Boosting for Functional Response
emotion

EEG and EMG recordings in a computerised gambling study
bsignal

Base-learners for Functional Covariates
clr

Clr and inverse clr transformation
fitted.FDboost

Fitted values of a boosted functional regression model
funMRD

Functional MRD
extract.blg

Extract information of a base-learner
coef.FDboost

Coefficients of boosted functional regression model
factorize

Factorize tensor product model
cvrisk.FDboostLSS

Cross-validation for FDboostLSS
fuelSubset

Spectral data of fossil fuels
funMSE

Functional MSE
%Xc%

Constrained row tensor product
is.hmatrix

Test to class of hmatrix
getTime

Generic functions to asses attributes of functional data objects
funRsquared

Functional R-squared
funplot

Plot functional data with linear interpolation of missing values
getTime.hmatrix

Extract attributes of hmatrix
integrationWeights

Functions to compute integration weights
hmatrix

A S3 class for univariate functional data on a common grid
o_control

Function to control estimation of smooth offset
reweightData

Function to Reweight Data
subset_hmatrix

Subsets hmatrix according to an index
[.hmatrix

Extract or replace parts of a hmatrix-object
mstop.validateFDboost

Methods for objects of class validateFDboost
residuals.FDboost

Residual values of a boosted functional regression model
predict.FDboost

Prediction for boosted functional regression model
stabsel.FDboost

Stability Selection
predict.FDboost_fac

Prediction and plotting for factorized FDboost model components
plot.FDboost

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

Function to update FDboost objects
plot.bootstrapCI

Methods for objects of class bootstrapCI
validateFDboost

Cross-Validation and Bootstrapping over Curves
wide2long

Transform id and time of wide format into long format
summary.FDboost

Print and summary of a boosted functional regression model
viscosity

Viscosity of resin over time
truncateTime

Function to truncate time in functional data