Regression with Functional Data

Documentation for package ‘refund’ version 0.1-5

refund-package	Regression with Functional Data
amc	Additive model with constraints
coef.pffr	Get estimated coefficients from a pffr
DTI	Diffusion Tensor Imaging: tract profiles and outcomes
expand.call	Return call with all possible arguments
ff	Construct a function-on-function regression term
fitted.pffr	Obtain fitted values for a pffr fit
fosr	Function-on-scalar regression
fosr.perm	Permutation testing for function-on-scalar regression
fosr.perm.fit	Permutation testing for function-on-scalar regression
fosr.perm.test	Permutation testing for function-on-scalar regression
fpcr	Functional principal component regression
gasoline	Octane numbers and NIR spectra of gasoline
lofocv	Leave-one-function-out cross-validation
lpfr	Longitudinal Penalized Functional Regression
model.matrix.pffr	Obtain model matrix for a pffr fit
pffr	Penalized function-on-function regression
pfr	Penalized Functional Regression
plot.fosr	Default plotting of function-on-scalar regression objects
plot.fosr.perm	Permutation testing for function-on-scalar regression
plot.fpcr	Default plotting for functional principal component regression output
plot.pffr	Plot a pffr fit
predict.pffr	Prediction for penalized function-on-function regression
print.summary.pffr	Print method for summary of a pffr fit
pwcv	Pointwise cross-validation for function-on-scalar regression
refund	Regression with Functional Data
residuals.pffr	Obtain residuals for a pffr fit
summary.pffr	Summary for a pffr fit