powered by
Calculates the population sensitivity required to achieve a given value for probability of disease freedom
sep.pfree(prior, pfree)
prior probability of freedom before surveillance (scalar or vector)
desired probability of freedom (scalar or vector)
a vector of population-level sensitivities
# NOT RUN { # examples of sep.pfree sep.pfree(0.5, 0.95) sep.pfree(c(0.5, 0.6, 0.7, 0.8, 0.9, 0.95), 0.99) sep.pfree(0.5, c(0.8, 0.9, 0.95, 0.99)) # }
Run the code above in your browser using DataLab