FDboost v1.0-0

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Boosting Functional Regression Models

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>.

Functions in FDboost

Name Description
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
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Vignettes of FDboost

Name
FLAM_canada.Rnw
FLAM_fuel.Rnw
FLAM_viscosity.Rnw
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Details

Type Package
Date 2020-08-31
License GPL-2
Packaged 2020-09-08 07:53:29 UTC; david
Collate 'aaa.R' 'FDboost-package.R' 'FDboost.R' 'baselearners.R' 'baselearnersX.R' 'bootstrapCIs.R' 'constrainedX.R' 'crossvalidation.R' 'FDboostLSS.R' 'hmatrix.R' 'methods.R' 'stabsel.R' 'utilityFunctions.R'
RoxygenNote 7.1.1
BugReports https://github.com/boost-R/FDboost/issues
URL https://github.com/boost-R/FDboost
VignetteBuilder knitr
NeedsCompilation no
Repository CRAN
Date/Publication 2020-09-08 12:40:40 UTC

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