Fits a functional linear model using basis expansion (ridge regression). Uses the anofox-regression Rust backend for efficient L2-regularized regression.
fregre.basis(fdataobj, y, basis.x = NULL, basis.b = NULL, lambda = 0, ...)A fitted regression object of class 'fregre.fd' with components:
Beta coefficient function values
Intercept term
Fitted values
Residuals
Regularization parameter used
R-squared (coefficient of determination)
Mean of functional covariate (for prediction)
Mean of response (for prediction)
Residual variance
Original functional data
Response vector
The function call
An object of class 'fdata' (functional covariate).
Response vector.
Basis for the functional covariate (currently ignored).
Basis for the coefficient function (currently ignored).
Smoothing/regularization parameter (L2 penalty).
Additional arguments.