FDboost-package |
FDboost: Boosting Functional Regression Models |
%A% |
Kronecker product or row tensor product of two base-learners with anisotropic penalty |
%A0% |
Kronecker product or row tensor product of two base-learners with anisotropic penalty |
%Xa0% |
Kronecker product or row tensor product of two base-learners with anisotropic penalty |
%Xc% |
Constrained row tensor product |
anisotropic_Kronecker |
Kronecker product or row tensor product of two base-learners with anisotropic penalty |
applyFolds |
Cross-Validation and Bootstrapping over Curves |
bbsc |
Constrained Base-learners for Scalar Covariates |
bconcurrent |
Base-learners for Functional Covariates |
bfpc |
Base-learners for Functional Covariates |
bhist |
Base-learners for Functional Covariates |
bhistx |
Base-learners for Functional Covariates |
birthDistribution |
Densities of live births in Germany |
bolsc |
Constrained Base-learners for Scalar Covariates |
bootstrapCI |
Function to compute bootstrap confidence intervals |
brandomc |
Constrained Base-learners for Scalar Covariates |
bsignal |
Base-learners for Functional Covariates |
clr |
Clr and inverse clr transformation |
coef.FDboost |
Coefficients of boosted functional regression model |
cvLong |
Cross-Validation and Bootstrapping over Curves |
cvMa |
Cross-Validation and Bootstrapping over Curves |
cvrisk.FDboost |
Cross-Validation and Bootstrapping over Curves |
cvrisk.FDboostLSS |
Cross-validation for FDboostLSS |
emotion |
EEG and EMG recordings in a computerised gambling study |
extract.blg |
Extract information of a base-learner |
factorise |
Factorize tensor product model |
factorize |
Factorize tensor product model |
factorize.FDboost |
Factorize tensor product model |
FDboost |
Model-based Gradient Boosting for Functional Response |
FDboostLSS |
Model-based Gradient Boosting for Functional GAMLSS |
FDboost_fac-class |
'FDboost_fac' S3 class for factorized FDboost model components |
FDboost_package |
FDboost: Boosting Functional Regression Models |
fitted.FDboost |
Fitted values of a boosted functional regression model |
fuelSubset |
Spectral data of fossil fuels |
funMRD |
Functional MRD |
funMSE |
Functional MSE |
funplot |
Plot functional data with linear interpolation of missing values |
funRsquared |
Functional R-squared |
getArgvals |
Generic functions to asses attributes of functional data objects |
getArgvals.hmatrix |
Extract attributes of hmatrix |
getArgvalsLab |
Generic functions to asses attributes of functional data objects |
getArgvalsLab.hmatrix |
Extract attributes of hmatrix |
getId |
Generic functions to asses attributes of functional data objects |
getId.hmatrix |
Extract attributes of hmatrix |
getIdLab |
Generic functions to asses attributes of functional data objects |
getIdLab.hmatrix |
Extract attributes of hmatrix |
getTime |
Generic functions to asses attributes of functional data objects |
getTime.hmatrix |
Extract attributes of hmatrix |
getTimeLab |
Generic functions to asses attributes of functional data objects |
getTimeLab.hmatrix |
Extract attributes of hmatrix |
getX |
Generic functions to asses attributes of functional data objects |
getX.hmatrix |
Extract attributes of hmatrix |
getXLab |
Generic functions to asses attributes of functional data objects |
getXLab.hmatrix |
Extract attributes of hmatrix |
hmatrix |
A S3 class for univariate functional data on a common grid |
integrationWeights |
Functions to compute integration weights |
integrationWeightsLeft |
Functions to compute integration weights |
is.hmatrix |
Test to class of hmatrix |
mstop.validateFDboost |
Methods for objects of class validateFDboost |
o_control |
Function to control estimation of smooth offset |
package-FDboost |
FDboost: Boosting Functional Regression Models |
plot.bootstrapCI |
Methods for objects of class bootstrapCI |
plot.FDboost |
Plot the fit or the coefficients of a boosted functional regression model |
plot.FDboost_fac |
Prediction and plotting for factorized FDboost model components |
plot.validateFDboost |
Methods for objects of class validateFDboost |
plotPredCoef |
Methods for objects of class validateFDboost |
plotPredicted |
Plot the fit or the coefficients of a boosted functional regression model |
plotResiduals |
Plot the fit or the coefficients of a boosted functional regression model |
predict.FDboost |
Prediction for boosted functional regression model |
predict.FDboost_fac |
Prediction and plotting for factorized FDboost model components |
print.bootstrapCI |
Methods for objects of class bootstrapCI |
print.FDboost |
Print and summary of a boosted functional regression model |
print.validateFDboost |
Methods for objects of class validateFDboost |
residuals.FDboost |
Residual values of a boosted functional regression model |
reweightData |
Function to Reweight Data |
stabsel.FDboost |
Stability Selection |
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 |
viscosity |
Viscosity of resin over time |
wide2long |
Transform id and time of wide format into long format |
[.hmatrix |
Extract or replace parts of a hmatrix-object |
_PACKAGE |
FDboost: Boosting Functional Regression Models |