SCAD.derivative: Penalty function derivative
In DiceKriging: Kriging Methods for Computer Experiments
Description
Usage
Arguments
Value
Author(s)
References
See Also
View source: R/SCAD.derivative.R
Description
Derivative of SCAD function.
Usage
1
SCAD.derivative(x, lambda)
Arguments
x
a vector where the function is to be evaluated.
lambda
a number representing a tuning parameter.
Value
A vector containing the SCAD derivative values at x.
Author(s)
O. Roustant, D. Ginsbourger, Ecole des Mines de St-Etienne.
References
R. Li and A. Sudjianto (2005), Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models, Technometrics, 47 no. 2, 111-120.
See Also
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Description Usage Arguments Value Author(s) References See Also
View source: R/SCAD.derivative.R
Description
Derivative of SCAD function.
Usage
1 | SCAD.derivative(x, lambda)
|
Arguments
x |
a vector where the function is to be evaluated. |
lambda |
a number representing a tuning parameter. |
Value
A vector containing the SCAD derivative values at x.
Author(s)
O. Roustant, D. Ginsbourger, Ecole des Mines de St-Etienne.
References
R. Li and A. Sudjianto (2005), Analysis of Computer Experiments Using Penalized Likelihood in Gaussian Kriging Models, Technometrics, 47 no. 2, 111-120.
See Also
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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