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| refund-package | Regression with Functional Data |
| amc | Additive model with constraints |
| ccb.fpc | Corrected confidence bands using functional principal components |
| cd4 | Observed CD4 cell counts |
| coef.pffr | Get estimated coefficients from a pffr |
| decomp | Internal functions for the refund package |
| decomp2d | Internal functions for the refund package |
| decomp3d | Internal functions for the refund package |
| DTI | Diffusion Tensor Imaging: tract profiles and outcomes |
| expand.call | Return call with all possible arguments |
| ff | Construct a function-on-function regression term |
| first.last_test | Internal functions for the refund package |
| 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 |
| fpca.sc | Functional principal components analysis by smoothed covariance |
| fpcr | Functional principal component regression |
| fpcr.setup | Internal functions for the refund package |
| gasoline | Octane numbers and NIR spectra of gasoline |
| getShrtlbls | Internal functions for the refund package |
| imwd_test | Internal functions for the refund package |
| list2df | Internal functions for the refund package |
| lofocv | Leave-one-function-out cross-validation |
| lpeer | Longitudinal functional models with structured penalties |
| lpfr | Longitudinal penalized functional regression |
| lw.test | Internal functions for the refund package |
| model.matrix.pffr | Obtain model matrix for a pffr fit |
| Omegas | Internal functions for the refund package |
| osplinepen2d | Internal functions for the refund package |
| pcre | pffr-constructor for PC-basis functional random effects |
| peer | Functional models with structured penalties |
| PEER.Sim1 | Simulated longitudinal data with functional predictor and scalar response, and structural information associated with predictor function |
| 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.lpeer | Plotting of estimated regression functions obtained through 'lpeer'() |
| plot.peer | Plotting of estimated regression functions obtained through 'peer()' |
| 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 |
| Q | Simulated longitudinal data with functional predictor and scalar response, and structural information associated with predictor function |
| reconstr | Internal functions for the refund package |
| reconstr2d | Internal functions for the refund package |
| reconstr3d | Internal functions for the refund package |
| refund | Regression with Functional Data |
| residuals.pffr | Obtain residuals for a pffr fit |
| safeDeparse | Internal functions for the refund package |
| sff | Construct a smooth function-on-function regression term |
| summary.pffr | Summary for a pffr fit |
| wcr | Principal component regression and partial least squares in the wavelet domain |
| wcr.perm | Permutation test for principal component regression and partial least squares in the wavelet domain |
| wnet | Generalized elastic net in the wavelet domain |