findOptimalApproxDesign: Find an Optimal Approximate Design for Poisson Regression
Description
This function will calculate the design weights for an A-optimal completely randomised design with a Poisson response.
Usage
findOptimalApproxDesign(means, silent = FALSE)
Arguments
means
A list of length v containing conditional means for each treatment e.g. c(1,1,2) for three treatments with means 1, 1, and 2 respectively
silent
a logical to indicate whether the design should be supressed out (TRUE) or not (FALSE)
Value
design
A list of the same dimension as means that contains the design weights for the corresponding treatments.
References
Bush, S., and Ruggiero, K. (2016) Optimal block designs for experiments with responses drawn from a Poisson distribution, Under Review, preprint available at http://arxiv.org/abs/1601.00477