Wynn finds an optimal design using a sensitivity function and a Wynn-algorithm.
Wynn(sensF, tol, maxIter = 10000)
the tolerance level regarding the sensitivities.
the maximum number of iterations.
Dsensitivity and it's return value for a reference implementation of a function complying with the requirements for
The algorithm starts from a uniform weight design.
In each iteration weight is redistributed to the point which has the highest sensitivity.
The algorithm stops when all sensitivities are below a specified tolerance level or the maximum number of iterations is reached.
Wynn returns an object of
design for its structural definition.
Wynn, Henry P. (1970) The Sequential Generation of D-Optimum Experimental Designs. The Annals of Mathematical Statistics, 41(5):1655-1664.
## see examples for param
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