Fig. 2
From: estimateR: an R package to estimate and monitor the effective reproductive number
Summary of \(R_e\) inference on simulated data combining partially-delayed and fully-delayed observations. Each row corresponds to a different scenario of \(R_e\) changes through time. Each plot overlays values obtained on simulations obtained with four different values of p (probability of making a partially-delayed observation for a given infection event): from purple to yellow, \(p = {0, 0.3, 0.6, 1}\). The first column shows estimated \(R_e\) values, with the ground truth as a black line. For value of p, the median (over 100 replicates) estimate is shown as a line and the 95% confidence interval is shown as a ribbon. The second column shows the corresponding coverage values (fraction of replicates for which the ground truth is inside the confidence intervals) and the third column shows root mean squared error (RMSE)