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relocate bayesian callout after intro
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avallecam committed May 4, 2024
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Expand Up @@ -94,20 +94,6 @@ In the ["`Expected change in daily cases`" callout](#expected-change-in-daily-ca

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In this tutorial we are going to learn how to use the `{EpiNow2}` package to estimate the time-varying reproduction number. We’ll use the `{dplyr}` package to arrange some of its inputs, `{ggplot2}` to visualize case distribution, and the pipe `%>%` to connect some of their functions, so let’s also call to the `{tidyverse}` package:

```{r,message=FALSE,warning=FALSE}
library(EpiNow2)
library(tidyverse)
```


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This tutorial illustrates the usage of `epinow()` to estimate the time-varying reproduction number and infection times. Learners should understand the necessary inputs to the model and the limitations of the model output.

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## Delay distributions and case data
### Case data
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