translink_samplesize {phylosamp} | R Documentation |
Calculate sample size needed to identify true transmission links
Description
This function calculates the sample size needed to identify transmission links at
a predefined false discovery rate, given a final outbreak size N
.
Usage
translink_samplesize(
sensitivity,
specificity,
N,
R = NULL,
tdr,
min_pairs = 1,
assumption = "mtml"
)
Arguments
sensitivity |
scalar or vector giving the sensitivity of the linkage criteria |
specificity |
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 |
tdr |
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 =
|
Value
scalar or vector giving the sample size needed to meet the given conditions
Author(s)
John Giles, Shirlee Wohl, and Justin Lessler
See Also
Other transmission linkage functions:
translink_expected_links_obs_mtml()
,
translink_expected_links_obs_mtsl()
,
translink_expected_links_obs_stsl()
,
translink_expected_links_obs()
,
translink_expected_links_true_mtml()
,
translink_expected_links_true_mtsl()
,
translink_expected_links_true_stsl()
,
translink_expected_links_true()
,
translink_fdr()
,
translink_prob_transmit_mtml()
,
translink_prob_transmit_mtsl()
,
translink_prob_transmit_stsl()
,
translink_prob_transmit()
,
translink_tdr()
Examples
translink_samplesize(sensitivity=0.99, specificity=0.995, N=100, R=1, tdr=0.75)