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FDboost (version 0.3-2)

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.

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Version

Install

install.packages('FDboost')

Monthly Downloads

914

Version

0.3-2

License

GPL-2

Issues

4

Pull Requests

1

Stars

20

Forks

7

Maintainer

Sarah Brockhaus

Last Published

August 4th, 2018

Functions in FDboost (0.3-2)

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