air |
Air quality data |
corn |
NIR of corn samples |
cv.ff.interaction |
Cross-validation for function-on-function regression models with specified main effects and two-way interaction terms |
cv.fof.spike |
Cross-validation for linear function-on-function regression on highly densely observed spiky data |
cv.fof.wv |
Cross-validation for wavelet-based linear function-on-function regression method |
cv.hd |
Cross-validation for sparse linear function-on-function regression with a large number of functional predictors |
cv.msof |
Cross-validation for linear multivariate scalar-on-function regression |
cv.msof.hd |
Cross-validation for high dimensional linear multivariate scalar-on-function regression |
cv.nonlinear |
Cross-validation for nonlinear function-on-function regression |
cv.sigcom |
Cross-validation for linear function-on-function regression |
cv.sof.spike |
Cross-validation for linear scalar-on-function regression for highly densely observed spiky functional data |
getcoef.ff.interaction |
Get the estimated coefficient functions for function-on-function interaction model |
getcoef.hd |
Get the estimated coefficient functions for linear function-on-function models with a large numbe of predictor curves |
getcoef.nonlinear |
Get the estimated intercept and nonlinear functions in nonlinear function-on-function model |
getcoef.sigcom |
Get the estimated intercept and coefficient functions for linear function-on-function models |
ocean |
Hawaii ocean data |
Pork |
Pork fat samples |
pred.ff.interaction |
Prediction for a linear FOF regression model with two-way interactions |
pred.fof.spike |
Prediction for linear function-on-function regression on highly sensely observed spiky data |
pred.fof.wv |
Prediction for linear function-on-function regression using signal compression |
pred.hd |
Prediction for sparse linear function-on-function regression |
pred.msof |
Prediction for linear multivariate scalar-on-function regression |
pred.msof.hd |
Prediction for high dimensional linear multivariate scalar-on-function regression |
pred.nonlinear |
Prediction for nonlinear function-on-function regression |
pred.sigcom |
Prediction for linear function-on-function regression using signal compression |
pred.sof.spike |
Prediction for linear function-on-function regression on highly sensely observed spiky data |
step.ff.interaction |
Stepwise variable selection procedure for FOF regression models with two-way interactions |