See the function
model which produces an instance of this class
This class comes with a set of methods, some of them being useful for the user:
See the documentation for
model... Other methods
should not be called as they are designed to be used during the calibration process.
Fields should not be changed or manipulated by the user as they are updated internally during the estimation process.
An object of class
R6ClassGenerator of length 24.
a function which takes in entry X and theta
the matrix of the forced variables
the experimental output
the number of experiments
the number of forced variables
the lower bound of the parameters for the DOE
the upper bound of the parameters for the DOE
a list of parameter for the surrogate (default NULL)
type type of the chosen kernel (value by default "matern5_2") from
DOE design of experiments for the surrogate (default value NULL)
a list of parameter to establish the DOE (default NULL)
p the number of parameter in the model (default value 1)
n.emul the number of points for constituting the Design Of Experiments (DOE) (default value 100)
binf the lower bound of the parameter vector (default value 0)
bsup the upper bound of the parameter vector (default value 1)
a list of parameter containing output of the code and corresponding DOE
Ysim Output of the code
DOEsim DOE corresponding to the output of the code
the model choice (see
model for more specification).
a list of parameter for the discrepancy
kernel.type the kernel chosen for the Gaussian process
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