iterate: Perform one iteration of Bayesian optimisation
In DTWilson/BOSSS: Bayesian Optimisation for Simulation-based Sample Size
iterate R Documentation
Perform one iteration of Bayesian optimisation
Description
Perform one iteration of Bayesian optimisation
Usage
iterate(solution, problem, N, design = NULL)
Arguments
solution
current BOSSS solution.
problem
BOSSS problem.
N
number of simulations to use when computing Monte Carlo estimates.
design
optional vector in the design space to be evaluated. If left
NULL, an optimal design will be sought.
Value
An updated BOSSS solution object.
DTWilson/BOSSS documentation built on April 14, 2025, 8:35 a.m.
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| iterate | R Documentation |
Perform one iteration of Bayesian optimisation
Description
Perform one iteration of Bayesian optimisation
Usage
iterate(solution, problem, N, design = NULL)
Arguments
solution |
current BOSSS solution. |
problem |
BOSSS problem. |
N |
number of simulations to use when computing Monte Carlo estimates. |
design |
optional vector in the design space to be evaluated. If left NULL, an optimal design will be sought. |
Value
An updated BOSSS solution object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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