Description Usage Arguments Value Author(s) References
Evaluates the generalized cross generalization criterion for a specific value of lambda.
1 | GCV(lambda,y,x,d)
|
lambda |
lambda value to evaulate the GCV criterion at |
y |
Time series response values. |
x |
Design matrix from the penalized spline regression. |
d |
Diagonal matrix used to constrain the linear model. This is a type of Ridge regression. |
Returns the GCV value for a specific value of lambda and an input into the optimize function in order to minimize this function.
Kyle A. Caudle
D. Ruppert, M. P. Wand and R. J. Carroll, Semiparametric Regression. New York, NY: Cambidge University Press, 2003.
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