wridge_solver {aspline} | R Documentation |
Fit B-Splines with weighted penalization over differences of parameters
wridge_solver(
XX_band,
Xy,
degree,
pen,
w = rep(1, nrow(XX_band) - degree - 1),
old_par = rep(1, nrow(XX_band)),
maxiter = 1000,
tol = 1e-08
)
XX_band |
The matrix |
Xy |
The vector of currently estimated points |
degree |
The degree of the B-splines. |
pen |
Positive penalty constant. |
w |
Vector of weights. The case |
old_par |
Initial parameter to serve as starting point of the iterating process. |
maxiter |
Maximum number of Newton-Raphson iterations to be computed. |
tol |
The tolerance chosen to diagnostic convergence of the adaptive ridge procedure. |
The estimated parameter of the spline regression.