Estimate r(t) with confidence intervals
rt_estimation_ci( incidence, ci_lower, ci_higher, n_resample = 200, level = 0.95, shift_amt = 0, n = 7, hide_invalid = TRUE )
incidence | incidence timeseries, vector |
---|---|
ci_lower | lower confidence interval estimated from linear_filter, vector |
ci_higher | upper confidence interval estimated from linear_filter, vector |
n_resample | number of bootstrapping attempts for confidence interval estimation |
level | confidence interval level |
shift_amt | number of timesteps to shift estimation back by (integer) |
n | number of timesteps to filter (longer is smoother), must be odd |
hide_invalid | whether or not to return NA for the first/last n-1 times |
dataframe with estimated r(t)