diff --git a/R/looic.R b/R/looic.R
index d1c7fc49a..8f0a0c66e 100644
--- a/R/looic.R
+++ b/R/looic.R
@@ -12,13 +12,13 @@
 #' @return A list with four elements, the ELPD, LOOIC and their standard errors.
 #'
 #' @examplesIf require("rstanarm")
-#' model <- rstanarm::stan_glm(
+#' model <- suppressWarnings(rstanarm::stan_glm(
 #'   mpg ~ wt + cyl,
 #'   data = mtcars,
 #'   chains = 1,
 #'   iter = 500,
 #'   refresh = 0
-#' )
+#' ))
 #' looic(model)
 #' @export
 looic <- function(model, verbose = TRUE) {
diff --git a/R/model_performance.bayesian.R b/R/model_performance.bayesian.R
index 576c8abcd..6421206b2 100644
--- a/R/model_performance.bayesian.R
+++ b/R/model_performance.bayesian.R
@@ -42,25 +42,25 @@
 #'
 #' @examplesIf require("rstanarm") && require("rstantools") && require("BayesFactor")
 #' \dontrun{
-#' model <- rstanarm::stan_glm(
+#' model <- suppressWarnings(rstanarm::stan_glm(
 #'   mpg ~ wt + cyl,
 #'   data = mtcars,
 #'   chains = 1,
 #'   iter = 500,
 #'   refresh = 0
-#' )
+#' ))
 #' model_performance(model)
 #'
-#' model <- stan_glmer(
+#' model <- suppressWarnings(rstanarm::stan_glmer(
 #'   mpg ~ wt + cyl + (1 | gear),
 #'   data = mtcars,
 #'   chains = 1,
 #'   iter = 500,
 #'   refresh = 0
-#' )
+#' ))
 #' model_performance(model)
 #'
-#' model <- generalTestBF(carb ~ am + mpg, mtcars)
+#' model <- BayesFactor::generalTestBF(carb ~ am + mpg, mtcars)
 #'
 #' model_performance(model)
 #' model_performance(model[3])
diff --git a/R/model_performance.rma.R b/R/model_performance.rma.R
index 167eb75bb..6a3fb2e93 100644
--- a/R/model_performance.rma.R
+++ b/R/model_performance.rma.R
@@ -47,8 +47,8 @@
 #' See the documentation for `?metafor::fitstats`.
 #' }
 #'
-#' @examplesIf require("metafor")
-#' data(dat.bcg, package = "metafor")
+#' @examplesIf require("metafor") && require("metadat")
+#' data(dat.bcg, package = "metadat")
 #' dat <- metafor::escalc(
 #'   measure = "RR",
 #'   ai = tpos,
diff --git a/R/r2_bayes.R b/R/r2_bayes.R
index 506c4dde6..1c8b5c4fa 100644
--- a/R/r2_bayes.R
+++ b/R/r2_bayes.R
@@ -43,13 +43,13 @@
 #'   ))
 #'   r2_bayes(model)
 #'
-#'   model <- stan_lmer(
+#'   model <- suppressWarnings(stan_lmer(
 #'     Petal.Length ~ Petal.Width + (1 | Species),
 #'     data = iris,
 #'     chains = 1,
 #'     iter = 500,
 #'     refresh = 0
-#'   )
+#'   ))
 #'   r2_bayes(model)
 #' }
 #'
@@ -75,10 +75,20 @@
 #'
 #' \dontrun{
 #' if (require("brms")) {
-#'   model <- brms::brm(mpg ~ wt + cyl, data = mtcars)
+#'   model <- suppressWarnings(brms::brm(
+#'     mpg ~ wt + cyl,
+#'     data = mtcars,
+#'     silent = 2,
+#'     refresh = 0
+#'   ))
 #'   r2_bayes(model)
 #'
-#'   model <- brms::brm(Petal.Length ~ Petal.Width + (1 | Species), data = iris)
+#'   model <- suppressWarnings(brms::brm(
+#'     Petal.Length ~ Petal.Width + (1 | Species),
+#'     data = iris,
+#'     silent = 2,
+#'     refresh = 0
+#'   ))
 #'   r2_bayes(model)
 #' }
 #' }
diff --git a/man/looic.Rd b/man/looic.Rd
index 3285be1fc..742ac3482 100644
--- a/man/looic.Rd
+++ b/man/looic.Rd
@@ -22,13 +22,13 @@ indicative of a better fit.
 }
 \examples{
 \dontshow{if (require("rstanarm")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
-model <- rstanarm::stan_glm(
+model <- suppressWarnings(rstanarm::stan_glm(
   mpg ~ wt + cyl,
   data = mtcars,
   chains = 1,
   iter = 500,
   refresh = 0
-)
+))
 looic(model)
 \dontshow{\}) # examplesIf}
 }
diff --git a/man/model_performance.rma.Rd b/man/model_performance.rma.Rd
index 9f2db24b5..69d1923ba 100644
--- a/man/model_performance.rma.Rd
+++ b/man/model_performance.rma.Rd
@@ -65,8 +65,8 @@ See the documentation for \code{?metafor::fitstats}.
 }
 }
 \examples{
-\dontshow{if (require("metafor")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
-data(dat.bcg, package = "metafor")
+\dontshow{if (require("metafor") && require("metadat")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+data(dat.bcg, package = "metadat")
 dat <- metafor::escalc(
   measure = "RR",
   ai = tpos,
diff --git a/man/model_performance.stanreg.Rd b/man/model_performance.stanreg.Rd
index 4c26214a5..7398b9f1c 100644
--- a/man/model_performance.stanreg.Rd
+++ b/man/model_performance.stanreg.Rd
@@ -62,25 +62,25 @@ values mean better fit. See \code{?loo::waic}.
 \examples{
 \dontshow{if (require("rstanarm") && require("rstantools") && require("BayesFactor")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 \dontrun{
-model <- rstanarm::stan_glm(
+model <- suppressWarnings(rstanarm::stan_glm(
   mpg ~ wt + cyl,
   data = mtcars,
   chains = 1,
   iter = 500,
   refresh = 0
-)
+))
 model_performance(model)
 
-model <- stan_glmer(
+model <- suppressWarnings(rstanarm::stan_glmer(
   mpg ~ wt + cyl + (1 | gear),
   data = mtcars,
   chains = 1,
   iter = 500,
   refresh = 0
-)
+))
 model_performance(model)
 
-model <- generalTestBF(carb ~ am + mpg, mtcars)
+model <- BayesFactor::generalTestBF(carb ~ am + mpg, mtcars)
 
 model_performance(model)
 model_performance(model[3])
diff --git a/man/r2_bayes.Rd b/man/r2_bayes.Rd
index f78f38bf6..1370bafda 100644
--- a/man/r2_bayes.Rd
+++ b/man/r2_bayes.Rd
@@ -74,13 +74,13 @@ if (require("rstanarm") && require("rstantools")) {
   ))
   r2_bayes(model)
 
-  model <- stan_lmer(
+  model <- suppressWarnings(stan_lmer(
     Petal.Length ~ Petal.Width + (1 | Species),
     data = iris,
     chains = 1,
     iter = 500,
     refresh = 0
-  )
+  ))
   r2_bayes(model)
 }
 
@@ -106,10 +106,20 @@ if (require("BayesFactor")) {
 
 \dontrun{
 if (require("brms")) {
-  model <- brms::brm(mpg ~ wt + cyl, data = mtcars)
+  model <- suppressWarnings(brms::brm(
+    mpg ~ wt + cyl,
+    data = mtcars,
+    silent = 2,
+    refresh = 0
+  ))
   r2_bayes(model)
 
-  model <- brms::brm(Petal.Length ~ Petal.Width + (1 | Species), data = iris)
+  model <- suppressWarnings(brms::brm(
+    Petal.Length ~ Petal.Width + (1 | Species),
+    data = iris,
+    silent = 2,
+    refresh = 0
+  ))
   r2_bayes(model)
 }
 }