fRegress.CV {fda} | R Documentation |
For a functional regression model with a scalar dependent variable, a cross-validated error sum of squares is computed. This function aids the choice of smoothing parameters in this model using the cross-validated error sum of squares criterion.
fRegress.CV(yvec, xfdlist, betalist)
yvec |
a vector of dependent variable values. |
xfdlist |
a list whose members are functional parameter objects specifying functional independent variables. Some of these may also be vectors specifying scalar independent variables. |
betalist |
a list containing functional parameter objects specifying the regression functions and their level of smoothing. |
the sum of squared errors in predicting yvec
.
fRegress, fRegress.stderr
#See the analyses of the daily weather data.