Automatic readme update

README.md

@@ -18,10 +18,10 @@ experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](h
 estimate and understand individual-level variation the in transmission
 of infectious diseases from data on secondary cases.
 
-`{superspreading}` implements methods outlined in
-([**lloyd-smithSuperspreadingEffectIndividual2005?**](#ref-lloyd-smithSuperspreadingEffectIndividual2005)),
-Adam J. Kucharski et al.
-([2020](#ref-kucharskiEarlyDynamicsTransmission2020)), and Kremer et al.
+`{superspreading}` implements methods outlined in Lloyd-Smith et al.
+([2005](#ref-lloyd-smithSuperspreadingEffectIndividual2005)), Adam J.
+Kucharski et al. ([2020](#ref-kucharskiEarlyDynamicsTransmission2020)),
+and Kremer et al.
 ([2021](#ref-kremerQuantifyingSuperspreadingCOVID192021)), as well as
 additional functions.
 
@@ -291,4 +291,14 @@ Study.” *The Lancet Infectious Diseases* 20 (5): 553–58.
 
 </div>
 
+<div id="ref-lloyd-smithSuperspreadingEffectIndividual2005"
+class="csl-entry">
+
+Lloyd-Smith, J. O., S. J. Schreiber, P. E. Kopp, and W. M. Getz. 2005.
+“Superspreading and the Effect of Individual Variation on Disease
+Emergence.” *Nature* 438 (7066): 355–59.
+<https://doi.org/10.1038/nature04153>.
+
+</div>
+
 </div>