FDboost1.1-2 package

Boosting Functional Regression Models

anisotropic_Kronecker

Kronecker product or row tensor product of two base-learners with anis...

applyFolds

Cross-Validation and Bootstrapping over Curves

bbsc

Constrained Base-learners for Scalar Covariates

bhistx

Base-learners for Functional Covariates

bootstrapCI

Function to compute bootstrap confidence intervals

bsignal

Base-learners for Functional Covariates

clr

Clr and inverse clr transformation

coef.FDboost

Coefficients of boosted functional regression model

cvrisk.FDboostLSS

Cross-validation for FDboostLSS

extract.blg

Extract information of a base-learner

factorize

Factorize tensor product model

FDboost-package

FDboost: Boosting Functional Regression Models

FDboost

Model-based Gradient Boosting for Functional Response

FDboost_fac-class

FDboost_fac S3 class for factorized FDboost model components

FDboostLSS

Model-based Gradient Boosting for Functional GAMLSS

fitted.FDboost

Fitted values of a boosted functional regression model

funMRD

Functional MRD

funMSE

Functional MSE

funplot

Plot functional data with linear interpolation of missing values

funRsquared

Functional R-squared

getTime.hmatrix

Extract attributes of hmatrix

getTime

Generic functions to asses attributes of functional data objects

grapes-Xc-grapes

Constrained row tensor product

hmatrix

A S3 class for univariate functional data on a common grid

integrationWeights

Functions to compute integration weights

is.hmatrix

Test to class of hmatrix

o_control

Function to control estimation of smooth offset

plot.bootstrapCI

Methods for objects of class bootstrapCI

plot.FDboost

Plot the fit or the coefficients of a boosted functional regression mo...

plot.validateFDboost

Methods for objects of class validateFDboost

predict.FDboost

Prediction for boosted functional regression model

predict.FDboost_fac

Prediction and plotting for factorized FDboost model components

residuals.FDboost

Residual values of a boosted functional regression model

reweightData

Function to Reweight Data

stabsel.FDboost

Stability Selection

sub-.hmatrix

Extract or replace parts of a hmatrix-object

subset_hmatrix

Subsets hmatrix according to an index

summary.FDboost

Print and summary of a boosted functional regression model

truncateTime

Function to truncate time in functional data

update.FDboost

Function to update FDboost objects

validateFDboost

Cross-Validation and Bootstrapping over Curves

wide2long

Transform id and time of wide format into long format

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) <doi:10.18637/jss.v094.i10>.

  • Maintainer: David Ruegamer
  • License: GPL-2
  • Last published: 2023-08-12