@@ -4,7 +4,7 @@

 #' as representative neighbourhoods on a nearest neighbour graph. Hypothesis testing is performed using a

 #' negative bionomial generalized linear model.

 #'

-#' @aliases miloR-package

+#' @aliases miloR

 #' @importFrom Rcpp evalCpp

 #' @useDynLib miloR

 #' @name miloR

@@ -328,7 +328,7 @@ In these examples we settle for `overlap=5` and `max.lfc.delta=5`, as we need at

 ```{r, dev="jpeg"}

 set.seed(42)

-da_results <- groupNhoods(embryo_milo, da_results, max.lfc.delta = 1, overlap=3)

+da_results <- groupNhoods(embryo_milo, da_results, max.lfc.delta = 10, overlap=1)

 plotNhoodGroups(embryo_milo, da_results, layout="umap")

 plotDAbeeswarm(da_results, group.by = "NhoodGroup")

 ```