Computes CI for Seroprevalence from model standard errors, and (optionally)
for Force of Infection via nonparametric bootstrap.
Usage
# S3 method for class 'penalized_spline_model'
compute_ci(x, ci = 0.95, le = 100, foi_ci = FALSE, ...)
Arguments
- x
serosv models
- 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
- foi_ci
whether to compute CI for FoI (default to FALSE)
- ...
arbitrary arguments
Value
a list of 2 data frames:
seroprevalence estimates with columns: x (age),
y (fitted seroprevalence), ymin and ymax
(lower and upper confidence interval bounds)
FoI estimates with columns: x (age), y
(fitted FoI), and if foi_ci = TRUE, ymin and
ymax (lower and upper confidence interval bounds)
