CI for prevalence is the transform CI for mu(a) estimator, and not accounting for
the uncertainty in mu_I and mu_S estimates
Usage
# S3 method for class 'estimate_from_mixture'
compute_ci(x, ci = 0.95, le = 100, ...)
Arguments
- x
serosv mixture_model object
- ci
confidence level for the interval
- le
length of age sequence for computing confidence interval, default to inputted age sequence for model fitting if NULL
- ...
arbitrary arguments
Value
a data frames of seroprevalence estimates with columns: x (age),
y (fitted seroprevalence), ymin and ymax
(lower and upper confidence interval bounds)
