This does not account for possible confounders such as importation, changing Rt, outbreaks etc
1 2 3 4 5 6 7 8 9 10 | sim_powerDetectionPrevalence_logisticGrowth(
selcoef = 0.25,
nperday = 10,
alpha = 0.05,
Tg = 6.5,
mindays = 31,
maxdays = 240,
init_freq = 1e-04,
nreplicates = 5
)
|
selcoef |
selection coefficient (per generation) |
nperday |
samples per day within region |
alpha |
Signif threshold for detection |
Tg |
generation time (days) |
mindays |
min days to search for possible detection |
maxdays |
max days to search for possible detection |
init_freq |
Initial frequency of variant (impacts computation, will not usually need to change this) |
nreplicates |
Results averaged over this many replicates |
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