Description Usage Arguments Details Value Warning Author(s) See Also Examples
Creates a model using penalized smoothing splines using radial basis functions
1 |
... |
The explicative variables for which the spline is based on. |
knots |
The coordinates of knots. See section details. |
degree |
Numeric. The degree of the spline. |
penalty |
Numeric. The penalty coefficient. |
If one explicative variable is given in "...", the knots
should be a numeric vector. Otherwise, knots
should be a matrix
with the same number of column and covariates.
A list giving all the required information to fit a penalized smoothing spline:
dsgn.mat |
The design matrix. |
pen.mat |
The penalization matrix. |
degree |
The degree of the smoothing spline. |
penalty |
The penalty of the smoothing spline. |
knots |
The knots of the smoothing spline. |
data |
The explicative variables (e.g. covariates). |
call |
How was the |
This function is not supposed to be called directly. rb
is
supposed to be embedded in a R formula.
Mathieu Ribatet
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