This function calculates the sample size needed to obtain at least a defined false disovery rate given a final outbreak size \(N\).
samplesize(eta, chi, N, R = NULL, phi, min_pairs = 1, assumption = "mtml")
eta | scalar or vector giving the sensitivity of the linkage criteria |
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chi | scalar or vector giving the specificity of the linkage criteria |
N | scalar or vector giving the final outbreak size |
R | scalar or vector giving the effective reproductive number of the pathogen |
phi | scalar or vector giving the desired true discovery rate (1-false discovery rate) |
min_pairs | minimum number of linked pairs observed in the sample, defaults to 1 pair (2 samples); this is to ensure reasonable results are obtained |
assumption | a character vector indicating which assumptions about transmission and linkage criteria. Default =
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scalar or vector giving the sample size needed to meet the given conditions
John Giles, Shirlee Wohl, and Justin Lessler
samplesize(eta=0.99, chi=0.995, N=100, R=1, phi=0.75)#> [1] 10