From 9001d2b1bbdb0f244df9cef995c32c54d5ed3986 Mon Sep 17 00:00:00 2001
From: Pietro Monticone <38562595+pitmonticone@users.noreply.github.com>
Date: Thu, 1 Jul 2021 00:40:11 +0200
Subject: [PATCH] Update README.Rmd

Fixed a typo.
---
 README.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.Rmd b/README.Rmd
index 450a574a3..0b10bdc2a 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -69,7 +69,7 @@ Windows users will need a working installation of Rtools in order to build the p
 
 `{EpiNow2}` is designed to be used with a single function call or to be
 used in an ad-hoc fashion via individual function calls. The core functions of `{EpiNow2}` are the two single-call functions [`epinow()`](https://epiforecasts.io/EpiNow2/reference/epinow.html), [`regional_epinow()`](https://epiforecasts.io/EpiNow2/reference/regional_epinow.html), plus functions
-[`estimate_infections()`](https://epiforecasts.io/EpiNow2/reference/estimate_infections.html), [`forecast_infections()`](https://epiforecasts.io/EpiNow2/reference/forecast_infections.html), [`estimate_secondary()`](https://epiforecasts.io/EpiNow2/reference/estimate_secondary.html) and [`estimate_truncation()`](https://epiforecasts.io/EpiNow2/reference/estimate_truncation.html). In the following section we give an overview of the simple use case for `epinow` and `regional_epinow`. [`estimate_infections()`](https://epiforecasts.io/EpiNow2/reference/estimate_infections.html) can be use on its own to infer the underlying infection case curve from reported cases and estimate Rt. Estimating the underlying infection case curve via back-calculation (and then calculating Rt) is substantially less computationally demanding than generating using default settings but may result in less reliable estimates of Rt. For more details on using each function see the [function documentation](https://epiforecasts.io/EpiNow2/reference/index.html).
+[`estimate_infections()`](https://epiforecasts.io/EpiNow2/reference/estimate_infections.html), [`forecast_infections()`](https://epiforecasts.io/EpiNow2/reference/forecast_infections.html), [`estimate_secondary()`](https://epiforecasts.io/EpiNow2/reference/estimate_secondary.html) and [`estimate_truncation()`](https://epiforecasts.io/EpiNow2/reference/estimate_truncation.html). In the following section we give an overview of the simple use case for `epinow` and `regional_epinow`. [`estimate_infections()`](https://epiforecasts.io/EpiNow2/reference/estimate_infections.html) can be used on its own to infer the underlying infection case curve from reported cases and estimate Rt. Estimating the underlying infection case curve via back-calculation (and then calculating Rt) is substantially less computationally demanding than generating using default settings but may result in less reliable estimates of Rt. For more details on using each function see the [function documentation](https://epiforecasts.io/EpiNow2/reference/index.html).
 
 The first step to using the package is to load it as follows.