Description Usage Arguments Value Author(s) References See Also Examples
View source: R/findOptimalApproxDesign.R
This function will calculate the design weights for an A-optimal completely randomised design with a Poisson response.
1 | findOptimalApproxDesign(means, silent = FALSE)
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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) |
design |
A list of the same dimension as means that contains the design weights for the corresponding treatments. |
Stephen Bush (stephen.bush@uts.edu.au)
Katya Ruggiero (k.ruggiero@auckland.ac.nz)
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
findOptimalExactDesign
, findOptimalBlockDesign
1 2 3 | # Calculating design weights for an approximate design with means 1, 2, and 4
findOptimalApproxDesign(c(1,2,4), silent = FALSE)
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