diff --git a/R/scDD-simulate.R b/R/scDD-simulate.R
index cdf3b4fee8ce0a1d6b10af3fd46a1506f2557d50..fe70aa680302987ce43503e857d626b72f47a30b 100644
--- a/R/scDD-simulate.R
+++ b/R/scDD-simulate.R
@@ -28,7 +28,9 @@
 #' Code: \url{https://github.com/kdkorthauer/scDD}
 #'
 #' @examples
+#' \dontrun{
 #' sim <- scDDSimulate()
+#' }
 #' @export
 #' @importFrom scater newSCESet
 scDDSimulate <- function(params = newSCDDParams(), plots = FALSE,
diff --git a/R/splat-simulate.R b/R/splat-simulate.R
index 2200a6bb7f53b00d34f95a0bb1a5295118bd6f37..bccfb6ac33ed8d974bdc40318f898b93197c38ec 100644
--- a/R/splat-simulate.R
+++ b/R/splat-simulate.R
@@ -93,6 +93,7 @@
 #'
 #' @examples
 #' # Simulation with default parameters
+#' \dontrun{
 #' sim <- splatSimulate()
 #' # Simulation with different number of genes
 #' sim <- splatSimulate(nGenes = 1000)
@@ -105,6 +106,7 @@
 #' sim <- splatSimulate(method = "groups")
 #' # Simulate paths
 #' sim <- splatSimulate(method = "paths")
+#' }
 #' @importFrom Biobase fData pData pData<- assayData
 #' @importFrom methods validObject
 #' @importFrom scater newSCESet counts set_exprs<- get_exprs
diff --git a/man/scDDSimulate.Rd b/man/scDDSimulate.Rd
index d4ed55e013353083df1a8de36c08df5f2db8781e..a5d5db1df0e93a93467ec7c97de3e1fab059ce34 100644
--- a/man/scDDSimulate.Rd
+++ b/man/scDDSimulate.Rd
@@ -33,8 +33,10 @@ output to an \code{\link[scater]{SCESet}} object. See
 \code{\link[scDD]{simulateSet}} for more details of how the simulation works.
 }
 \examples{
+\dontrun{
 sim <- scDDSimulate()
 }
+}
 \references{
 Korthauer KD, Chu L-F, Newton MA, Li Y, Thomson J, Stewart R, et al. scDD: A
 statistical approach for identifying differential distributions in
diff --git a/man/splatSimulate.Rd b/man/splatSimulate.Rd
index 8d51ef7f106b6ca18d77581eb2dfc62bf75eaf01..a9b2424933d851b2aef58472614a452b40787193 100644
--- a/man/splatSimulate.Rd
+++ b/man/splatSimulate.Rd
@@ -109,6 +109,7 @@ order to differentiate them from the values added by Scater which uses
 }
 \examples{
 # Simulation with default parameters
+\dontrun{
 sim <- splatSimulate()
 # Simulation with different number of genes
 sim <- splatSimulate(nGenes = 1000)
@@ -122,6 +123,7 @@ sim <- splatSimulate(method = "groups")
 # Simulate paths
 sim <- splatSimulate(method = "paths")
 }
+}
 \seealso{
 \code{\link{splatSimLibSizes}}, \code{\link{splatSimGeneMeans}},
 \code{\link{splatSimDE}}, \code{\link{splatSimCellMeans}},