Learn R Programming

⚠️There's a newer version (1.1-2) of this package.Take me there.

FDboost (version 0.2-0)

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.

Copy Link

Version

Install

install.packages('FDboost')

Monthly Downloads

945

Version

0.2-0

License

GPL-2

Maintainer

Sarah Brockhaus

Last Published

June 20th, 2016

Functions in FDboost (0.2-0)

bbsc

Constrained Base-learners for Scalar Covariates
fitted.FDboost

Fitted values of a boosted functional regression model
extract.blg

Extract information of a base-learner
cvrisk.FDboostLSS

Cross-validation for FDboostLSS
bhistx

Base-learners for Functional Covariates
FDboostLSS

Model-based Gradient Boosting for Functional GAMLSS
funMRD

Functional MRD
bsignal

Base-learners for Functional Covariates
coef.FDboost

Coefficients of boosted functional regression model
fuelSubset

Spectral data of fossil fuels
funMSE

Functional MSE
getTime.hmatrix

Extract attributes of hmatrix
funplot

Plot functional data with linear interpolation of missing values
integrationWeights

Functions to compute integration weights
%Xc%

Constrained row tensor product
getTime

Generic functions to asses attributes of functional data objects
funRsquared

Functional R-squared
hmatrix

A S3 class for univariate functional data on a common grid
is.hmatrix

Test to class of hmatrix
o_control

Function to control estimation of smooth offset
print.FDboost

Print a boosted functional regression model
plot.FDboost

Plot the fit or the coefficients of a boosted functional regression model
reweightData

Function to Reweight Data
residuals.FDboost

Residual values of a boosted functional regression model
mstop.validateFDboost

Methods for objects of class validateFDboost
summary.FDboost

Summary of a boosted functional regression model
stabsel.FDboost

Stability Selection
predict.FDboost

Prediction for boosted functional regression model
[.hmatrix

Extract or replace parts of a hmatrix-object
truncateTime

Function to truncate time in functional data
viscosity

Viscosity of resin over time
wide2long

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

Function to update FDboost objects
applyFolds

Cross-Validation and Bootstrapping over Curves
anisotropic_Kronecker

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

Model-based Gradient Boosting for Functional Response