diff --git a/README.Rmd b/README.Rmd
index 372eb42..3c88c7f 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -50,11 +50,15 @@ To use the `iccbeta` package, load it into _R_ using:
 library("iccbeta")
 ```
 
-From there, the `icc_beta()` function can be called to compute the 
-intraclass correlation:
+From there, the `icc_beta()` function can be called using either `lmer()`
+model object or individual components to compute the intraclass correlation:
 
 ```{r sample-call, eval = FALSE}
-results = icc_beta(X, l2id, T, vy)
+# Automatically calculate icc from model
+results_model = icc_beta(<lmer-model>)
+
+# Calculate icc from individual terms.
+results_manual = icc_beta(X, l2id, T, vy)
 ```
 
 ## Authors
diff --git a/README.md b/README.md
index 4ddd3b8..7a51c54 100644
--- a/README.md
+++ b/README.md
@@ -45,11 +45,16 @@ To use the `iccbeta` package, load it into *R* using:
 library("iccbeta")
 ```
 
-From there, the `icc_beta()` function can be called to compute the
-intraclass correlation:
+From there, the `icc_beta()` function can be called using either
+`lmer()` model object or individual components to compute the intraclass
+correlation:
 
 ``` r
-results = icc_beta(X, l2id, T, vy)
+# Automatically calculate icc from model
+results_model = icc_beta(<lmer-model>)
+
+# Calculate icc from individual terms.
+results_manual = icc_beta(X, l2id, T, vy)
 ```
 
 ## Authors