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)
``` |

`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 ([email protected])

Katya Ruggiero ([email protected])

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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