diff --git a/DESCRIPTION b/DESCRIPTION
index 55f108388..58d92d257 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -168,3 +168,4 @@ Config/Needs/website:
     r-lib/pkgdown,
     easystats/easystatstemplate
 Config/rcmdcheck/ignore-inconsequential-notes: true
+Remotes: easystats/insight, easystats/modelbased
diff --git a/NEWS.md b/NEWS.md
index efaec9d14..838ee9900 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,31 +1,26 @@
-# performance 0.16.0.3
-
-## Bug fixes
-
-* Fixed issue in `check_collinearity()` that was causing inflated VIF values 
-  when applied to clm and clmm models from the ordinal package.
-
-# performance 0.16.0.2
+# performance (devel)
 
 ## Changes
 
-* `test_likelihoodratio()` now has a new 'Criterion' column containing the 
+* `test_likelihoodratio()` now has a new 'Criterion' column containing the
   -2 * log-likelihood (-2LL) value for each model.
 
-## Bug fixes
-
-* Fixed issue in `test_likelihoodratio_ListLavaan()` that was extracting the
-  absolute model fit (Chisq) from the lavTestLRT output instead of the actual 
-  LRT test statistic (Chisq diff).
-
-# performance 0.16.0.1
-
-## Changes
+* Added more details to the troubleshooting section to the documentation of
+  `check_model()`.
 
 * `check_predictions()` for Bayesian models now uses
   `modelbased::estimate_prediction()` and returns posterior predictive data in
   the same format as for other supported models.
 
+## Bug fixes
+
+* Fixed issue in `check_collinearity()` that was causing inflated VIF values 
+  when applied to clm and clmm models from the ordinal package.
+
+* Fixed issue in `test_likelihoodratio_ListLavaan()` that was extracting the
+  absolute model fit (Chisq) from the lavTestLRT output instead of the actual
+  LRT test statistic (Chisq diff).
+
 # performance 0.16.0
 
 ## Breaking Changes
diff --git a/R/check_model.R b/R/check_model.R
index 5ff13b21a..20f42ea55 100644
--- a/R/check_model.R
+++ b/R/check_model.R
@@ -181,6 +181,31 @@
 #' If `check_model()` doesn't work as expected, try setting `verbose = TRUE` to
 #' get hints about possible problems.
 #'
+#' If your plots are not rendering correctly in your IDE or you receive an error
+#' stating that the viewport is too small, try the following steps to resolve
+#' the issue:
+#'
+#' - *Enlarge the plotting window:* The most common cause is that the plotting
+#'   pane is simply too small. If you are using RStudio, click and drag the
+#'   edges of the 'Plots' pane to increase its dimensions, then try plotting
+#'   again.
+#' - *Reset your IDE zoom settings:* If resizing the window doesn't help, your
+#'   IDE's zoom level might be causing scaling issues. In RStudio, navigate to
+#'   the menu bar and select *View > Actual Size* to reset the zoom. If you are
+#'   using a different IDE, look for a similar zoom reset option.
+#' - *Adjust Windows display scaling:* On Windows, system-wide display scaling can
+#'   sometimes interfere with graphical outputs in R. You can adjust this in
+#'   your system settings: Go to *Start > Settings > System > Display* and locate
+#'   the `"Scale and layout"` section. Try reducing the scaling percentage (e.g.,
+#'   to 100%) and restart your IDE.
+#' - *Decrease the base font size:* As a code-level workaround, you can reduce the
+#'   base font size of your plots to help them fit into smaller viewports. If
+#'   you are using `{ggplot2}`, load the library and adjust your theme before
+#'   plotting. For example: `theme_set(theme_classic(base_size = 6))`.
+#' - *Update relevant packages:* Finally, ensure your graphics and layout packages
+#'   are up to date. You can update your packages (paying special attention to
+#'   `{ggplot2}` and `{patchwork}`) by running `update.packages(ask = FALSE)`.
+#'
 #' @family functions to check model assumptions and and assess model quality
 #'
 #' @examplesIf require("lme4") && FALSE
diff --git a/man/check_model.Rd b/man/check_model.Rd
index 4c4ab1688..147555d9a 100644
--- a/man/check_model.Rd
+++ b/man/check_model.Rd
@@ -260,6 +260,32 @@ skipped, which also increases performance.
 
 If \code{check_model()} doesn't work as expected, try setting \code{verbose = TRUE} to
 get hints about possible problems.
+
+If your plots are not rendering correctly in your IDE or you receive an error
+stating that the viewport is too small, try the following steps to resolve
+the issue:
+\itemize{
+\item \emph{Enlarge the plotting window:} The most common cause is that the plotting
+pane is simply too small. If you are using RStudio, click and drag the
+edges of the 'Plots' pane to increase its dimensions, then try plotting
+again.
+\item \emph{Reset your IDE zoom settings:} If resizing the window doesn't help, your
+IDE's zoom level might be causing scaling issues. In RStudio, navigate to
+the menu bar and select \emph{View > Actual Size} to reset the zoom. If you are
+using a different IDE, look for a similar zoom reset option.
+\item \emph{Adjust Windows display scaling:} On Windows, system-wide display scaling can
+sometimes interfere with graphical outputs in R. You can adjust this in
+your system settings: Go to \emph{Start > Settings > System > Display} and locate
+the \code{"Scale and layout"} section. Try reducing the scaling percentage (e.g.,
+to 100\%) and restart your IDE.
+\item \emph{Decrease the base font size:} As a code-level workaround, you can reduce the
+base font size of your plots to help them fit into smaller viewports. If
+you are using \code{{ggplot2}}, load the library and adjust your theme before
+plotting. For example: \code{theme_set(theme_classic(base_size = 6))}.
+\item \emph{Update relevant packages:} Finally, ensure your graphics and layout packages
+are up to date. You can update your packages (paying special attention to
+\code{{ggplot2}} and \code{{patchwork}}) by running \code{update.packages(ask = FALSE)}.
+}
 }
 
 \examples{
diff --git a/tests/testthat/test-check_homogeneity.R b/tests/testthat/test-check_homogeneity.R
index 3fbb36d9b..3c5bc9c74 100644
--- a/tests/testthat/test-check_homogeneity.R
+++ b/tests/testthat/test-check_homogeneity.R
@@ -1,5 +1,6 @@
-
 test_that("check_homogeneity | levene", {
+  skip_if_not_installed("car")
+
   data("mtcars")
   mtcars$am_f <- factor(mtcars$am)
   mtcars$cyl_f <- factor(mtcars$cyl)
diff --git a/tests/testthat/test-check_predictions.R b/tests/testthat/test-check_predictions.R
index ca07a5119..64080743d 100644
--- a/tests/testthat/test-check_predictions.R
+++ b/tests/testthat/test-check_predictions.R
@@ -476,27 +476,32 @@ test_that("check_predictions, Bayesian models use standard predictive-check data
   expect_identical(attr(out, "type"), "density")
 })
 
-
-test_that("check_predictions, Bayesian discrete models use standard predictive-check data", {
-  skip_if_not_installed("modelbased", minimum_version = "0.12.0")
-  skip_if_not_installed("curl")
-  skip_if_not_installed("httr2")
-  skip_if_offline()
-
-  model <- insight::download_model("brms_ordinal_1")
-  skip_if(is.null(model))
-
-  data(mtcars)
-  mtcars$cyl_ord <- as.ordered(mtcars$cyl)
-
-  set.seed(123)
-  out <- check_predictions(model, iterations = 5, type = "discrete_interval")
-
-  expect_s3_class(out, "performance_pp_check")
-  expect_named(out, c(paste0("sim_", 1:5), "y"))
-  expect_false("x" %in% names(out))
-  expect_false("Group" %in% names(out))
-  expect_false(isTRUE(attr(out, "is_stan")))
-  expect_identical(attr(out, "type"), "discrete_interval")
-  expect_true(attr(out, "model_info")$is_ordinal)
-})
+skip_if_not_installed("withr")
+withr::with_environment(
+  new.env(),
+  {
+    test_that("check_predictions, Bayesian discrete models use standard predictive-check data", {
+      skip_if_not_installed("modelbased", minimum_version = "0.12.0")
+      skip_if_not_installed("curl")
+      skip_if_not_installed("httr2")
+      skip_if_offline()
+
+      model <- insight::download_model("brms_ordinal_1")
+      skip_if(is.null(model))
+
+      data(mtcars)
+      mtcars$cyl_ord <- as.ordered(mtcars$cyl)
+
+      set.seed(123)
+      out <- check_predictions(model, iterations = 5, type = "discrete_interval")
+
+      expect_s3_class(out, "performance_pp_check")
+      expect_named(out, c(paste0("sim_", 1:5), "y"))
+      expect_false("x" %in% names(out))
+      expect_false("Group" %in% names(out))
+      expect_false(isTRUE(attr(out, "is_stan")))
+      expect_identical(attr(out, "type"), "discrete_interval")
+      expect_true(attr(out, "model_info")$is_ordinal)
+    })
+  }
+)
diff --git a/tests/testthat/test-glmmPQL.R b/tests/testthat/test-glmmPQL.R
index 3172179fa..033aaa801 100644
--- a/tests/testthat/test-glmmPQL.R
+++ b/tests/testthat/test-glmmPQL.R
@@ -1,4 +1,6 @@
 skip_if_not_installed("MASS")
+skip_if_not_installed("reformulas")
+
 test_that("r2", {
   example_dat <- data.frame(
     prop = c(0.2, 0.2, 0.5, 0.7, 0.1, 1, 1, 1, 0.1),
diff --git a/tests/testthat/test-r2_mcfadden.R b/tests/testthat/test-r2_mcfadden.R
index 4607375cf..7456127a8 100644
--- a/tests/testthat/test-r2_mcfadden.R
+++ b/tests/testthat/test-r2_mcfadden.R
@@ -1,3 +1,5 @@
+skip_if_not_installed("withr")
+
 test_that("r2_mcfadden", {
   skip_if_not_installed("MASS")
   withr::with_options(
@@ -28,8 +30,6 @@ test_that("r2_mcfadden", {
   )
 })
 
-skip_if_not_installed("withr")
-
 withr::with_environment(
   new.env(),
   {