add peak estimation section

episodes/describe-cases.Rmd

@@ -236,6 +236,26 @@ base::plot(cum_df) +
 
 Note that this function preserve grouping, i.e., if the the `incidence2` object contains groups, then it will accumlate the cases accrodingly. 
 
+##  Peak estimation
+
+One can estimate the peak --the time with highest number of recorded cases-- using `estimate_peak()` function from the {incidence2} package. 
+This function employs a bootstrapping method to determine the peak time.
+
+```{r, message=FALSE, warning=FALSE}
+peak <- incidence2::estimate_peak(
+  dialy_incidence_data,
+  n = 100,
+  alpha = 0.05,
+  first_only = TRUE,
+  progress = FALSE
+)
+print(peak)
+```
+This example demonstrates how to estimate the peak time using the `estimate_peak()` function at $95%$ 
+confidence interval and using 100 bootstrap samples. 
+
+
+
 ::::::::::::::::::::::::::::::::::::: challenge 
 
 ## Challenge 1: Can you do it?