A_step {depCensoring} | R Documentation |
A-step in the EAM algorithm described in KMS19
Description
This function performs the approximation step in the EAM
algorithm. More specifically, it fits a Gaussian-process regression model
(Kriging) to the evaluated data points (\theta, c(\theta))
.
Usage
A_step(evaluations, verbose = 0)
Arguments
evaluations |
Matrix containing each point that was already evaluated, alongside the corresponding test statistic and critical value, as its rows. |
verbose |
Verbosity parameter. |
Value
Results of the A-step.
See Also
Package rkriging.
[Package depCensoring version 0.1.7 Index]