diff --git a/.github/workflows/R-CMD-check-no-suggests.yaml b/.github/workflows/R-CMD-check-no-suggests.yaml
new file mode 100644
index 00000000..98cd63b0
--- /dev/null
+++ b/.github/workflows/R-CMD-check-no-suggests.yaml
@@ -0,0 +1,59 @@
+# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
+# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
+#
+# NOTE: This workflow only directly installs "hard" dependencies, i.e. Depends,
+# Imports, and LinkingTo dependencies. Notably, Suggests dependencies are never
+# installed, with the exception of testthat, knitr, and rmarkdown. The cache is
+# never used to avoid accidentally restoring a cache containing a suggested
+# dependency.
+on:
+  push:
+    branches: [main, master]
+  pull_request:
+
+name: R-CMD-check-no-suggests.yaml
+
+permissions: read-all
+
+jobs:
+  check-no-suggests:
+    runs-on: ${{ matrix.config.os }}
+
+    name: ${{ matrix.config.os }} (${{ matrix.config.r }})
+
+    strategy:
+      fail-fast: false
+      matrix:
+        config:
+          - {os: ubuntu-latest,   r: 'release'}
+
+    env:
+      GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
+      R_KEEP_PKG_SOURCE: yes
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: r-lib/actions/setup-pandoc@v2
+
+      - uses: r-lib/actions/setup-r@v2
+        with:
+          r-version: ${{ matrix.config.r }}
+          http-user-agent: ${{ matrix.config.http-user-agent }}
+          use-public-rspm: true
+
+      - uses: r-lib/actions/setup-r-dependencies@v2
+        with:
+          dependencies: '"hard"'
+          cache: false
+          extra-packages: |
+            any::rcmdcheck
+            any::testthat
+            any::knitr
+            any::rmarkdown
+          needs: check
+
+      - uses: r-lib/actions/check-r-package@v2
+        with:
+          upload-snapshots: true
+          build_args: 'c("--no-manual","--compact-vignettes=gs+qpdf")'
diff --git a/R/conf_mat.R b/R/conf_mat.R
index 7a0b503e..c3b3303d 100644
--- a/R/conf_mat.R
+++ b/R/conf_mat.R
@@ -39,7 +39,7 @@
 #' [summary.conf_mat()] for computing a large number of metrics from one
 #' confusion matrix.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("tidyr", "ggplot2"))
 #' library(dplyr)
 #' data("hpc_cv")
 #'
@@ -342,7 +342,7 @@ flatten <- function(xtab, call = caller_env()) {
 #'
 #' [conf_mat()]
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("tidyr"))
 #' data("two_class_example")
 #'
 #' cmat <- conf_mat(two_class_example, truth = "truth", estimate = "predicted")
diff --git a/R/prob-gain_capture.R b/R/prob-gain_capture.R
index 1cfd905c..0b900537 100644
--- a/R/prob-gain_capture.R
+++ b/R/prob-gain_capture.R
@@ -36,7 +36,7 @@
 #'
 #' @template examples-binary-prob
 #' @template examples-multiclass-prob
-#' @examples
+#' @examplesIf rlang::is_installed(c("ggplot2"))
 #' # ---------------------------------------------------------------------------
 #' # Visualize gain_capture()
 #'
diff --git a/R/prob-gain_curve.R b/R/prob-gain_curve.R
index 19249c0e..dc4f10d8 100644
--- a/R/prob-gain_curve.R
+++ b/R/prob-gain_curve.R
@@ -72,7 +72,7 @@
 #' @author Max Kuhn
 #'
 #' @template examples-binary-prob
-#' @examples
+#' @examplesIf rlang::is_installed(c("ggplot2"))
 #' # ---------------------------------------------------------------------------
 #' # `autoplot()`
 #'
diff --git a/R/prob-lift_curve.R b/R/prob-lift_curve.R
index 6ba69b32..7b792fc9 100644
--- a/R/prob-lift_curve.R
+++ b/R/prob-lift_curve.R
@@ -61,7 +61,7 @@
 #' @author Max Kuhn
 #'
 #' @template examples-binary-prob
-#' @examples
+#' @examplesIf rlang::is_installed(c("ggplot2"))
 #' # ---------------------------------------------------------------------------
 #' # `autoplot()`
 #'
diff --git a/R/prob-pr_curve.R b/R/prob-pr_curve.R
index 36067c19..f4290488 100644
--- a/R/prob-pr_curve.R
+++ b/R/prob-pr_curve.R
@@ -27,7 +27,7 @@
 #'
 #' @author Max Kuhn
 #' @template examples-binary-prob
-#' @examples
+#' @examplesIf rlang::is_installed(c("ggplot2"))
 #' # ---------------------------------------------------------------------------
 #' # `autoplot()`
 #'
diff --git a/R/prob-roc_curve.R b/R/prob-roc_curve.R
index 73dbc084..e4d3d43c 100644
--- a/R/prob-roc_curve.R
+++ b/R/prob-roc_curve.R
@@ -29,7 +29,7 @@
 #'
 #' @author Max Kuhn
 #' @template examples-binary-prob
-#' @examples
+#' @examplesIf rlang::is_installed(c("ggplot2"))
 #' # ---------------------------------------------------------------------------
 #' # `autoplot()`
 #'
diff --git a/R/surv-brier_survival.R b/R/surv-brier_survival.R
index 2300bd72..2bf65eaa 100644
--- a/R/surv-brier_survival.R
+++ b/R/surv-brier_survival.R
@@ -19,13 +19,13 @@
 #'
 #' @param ... The column identifier for the survival probabilities this
 #' should be a list column of data.frames corresponding to the output given when
-#' predicting with [censored](https://censored.tidymodels.org/) model. This 
-#' should be an unquoted column name although this argument is passed by 
-#' expression and supports [quasiquotation][rlang::quasiquotation] (you can 
+#' predicting with [censored](https://censored.tidymodels.org/) model. This
+#' should be an unquoted column name although this argument is passed by
+#' expression and supports [quasiquotation][rlang::quasiquotation] (you can
 #' unquote column names). For `_vec()` functions, the dots are not used.
-#' 
-#' @param estimate A list column of data.frames corresponding to the output 
-#' given when predicting with [censored](https://censored.tidymodels.org/) 
+#'
+#' @param estimate A list column of data.frames corresponding to the output
+#' given when predicting with [censored](https://censored.tidymodels.org/)
 #' model. See the details for more information regarding format.
 #'
 #' @details
@@ -59,7 +59,9 @@
 #' comparison of prognostic classification schemes for survival data,”
 #' _Statistics in Medicine_, vol. 18, no. 17-18, pp. 2529–2545, 1999.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("tidyr"))
+#' # example code
+#'
 #' library(dplyr)
 #'
 #' lung_surv %>%
diff --git a/R/surv-brier_survival_integrated.R b/R/surv-brier_survival_integrated.R
index 9654b160..2969b44b 100644
--- a/R/surv-brier_survival_integrated.R
+++ b/R/surv-brier_survival_integrated.R
@@ -43,7 +43,7 @@
 #' and comparison of prognostic classification schemes for survival data,”
 #' Statistics in Medicine, vol. 18, no. 17-18, pp. 2529–2545, 1999.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("tidyr"))
 #' library(dplyr)
 #'
 #' lung_surv %>%
diff --git a/R/surv-roc_auc_survival.R b/R/surv-roc_auc_survival.R
index 6d7fa143..018a8d10 100644
--- a/R/surv-roc_auc_survival.R
+++ b/R/surv-roc_auc_survival.R
@@ -47,7 +47,7 @@
 #' and comparison of prognostic classification schemes for survival data.
 #' _Statist. Med._, 18: 2529-2545.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("tidyr"))
 #' library(dplyr)
 #'
 #' lung_surv %>%
diff --git a/R/surv-roc_curve_survival.R b/R/surv-roc_curve_survival.R
index 3f90c120..b2d314b5 100644
--- a/R/surv-roc_curve_survival.R
+++ b/R/surv-roc_curve_survival.R
@@ -49,7 +49,7 @@
 #' and comparison of prognostic classification schemes for survival data.
 #' _Statist. Med._, 18: 2529-2545.
 #'
-#' @examples
+#' @examplesIf rlang::is_installed(c("ggplot2"))
 #' result <- roc_curve_survival(
 #'   lung_surv,
 #'   truth = surv_obj,
@@ -180,14 +180,14 @@ roc_curve_survival_impl <- function(truth,
 
 roc_curve_survival_impl_one <- function(event_time, delta, data, case_weights) {
   res <- dplyr::tibble(.threshold = sort(unique(c(-Inf, data$.pred_survival, Inf)), decreasing = TRUE))
-  
+
   obs_time_le_time <- event_time <= data$.eval_time
   obs_time_gt_time <- event_time > data$.eval_time
   n <- nrow(data)
-  
+
   sensitivity_denom <- sum(obs_time_le_time * delta * data$.weight_censored * case_weights, na.rm = TRUE)
   specificity_denom <- sum(obs_time_gt_time * data$.weight_censored * case_weights, na.rm = TRUE)
-  
+
   data_df <- data.frame(
     le_time = obs_time_le_time,
     ge_time = obs_time_gt_time,
@@ -195,10 +195,10 @@ roc_curve_survival_impl_one <- function(event_time, delta, data, case_weights) {
     weight_censored = data$.weight_censored,
     case_weights = case_weights
   )
-  
+
   data_split <- vec_split(data_df, data$.pred_survival)
   data_split <- data_split$val[order(data_split$key)]
-  
+
   specificity <- vapply(
     data_split,
     function(x) sum(x$ge_time * x$weight_censored * x$case_weights, na.rm = TRUE),
@@ -217,14 +217,14 @@ roc_curve_survival_impl_one <- function(event_time, delta, data, case_weights) {
     function(x) sum(x$le_time * x$delta * x$weight_censored * x$case_weights, na.rm = TRUE),
     FUN.VALUE = numeric(1)
   )
-  
+
   sensitivity <- cumsum(sensitivity)
   sensitivity <- sensitivity / sensitivity_denom
   sensitivity <- dplyr::if_else(sensitivity > 1, 1, sensitivity)
   sensitivity <- dplyr::if_else(sensitivity < 0, 0, sensitivity)
   sensitivity <- c(0, sensitivity, 1)
   res$sensitivity <- sensitivity
-  
+
   res
 }
 
diff --git a/man/brier_survival.Rd b/man/brier_survival.Rd
index 95dc2c57..7bbfaa8e 100644
--- a/man/brier_survival.Rd
+++ b/man/brier_survival.Rd
@@ -78,6 +78,9 @@ This method automatically groups by the \code{.eval_time} argument.
 Smaller values of the score are associated with better model performance.
 }
 \examples{
+\dontshow{if (rlang::is_installed(c("tidyr"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+# example code
+
 library(dplyr)
 
 lung_surv \%>\%
@@ -85,6 +88,7 @@ lung_surv \%>\%
     truth = surv_obj,
     .pred
   )
+\dontshow{\}) # examplesIf}
 }
 \references{
 E. Graf, C. Schmoor, W. Sauerbrei, and M. Schumacher, “Assessment and
diff --git a/man/brier_survival_integrated.Rd b/man/brier_survival_integrated.Rd
index e13ee193..5d85f108 100644
--- a/man/brier_survival_integrated.Rd
+++ b/man/brier_survival_integrated.Rd
@@ -90,6 +90,7 @@ internal data set \code{lung_surv} shows an example of the format.
 This method automatically groups by the \code{.eval_time} argument.
 }
 \examples{
+\dontshow{if (rlang::is_installed(c("tidyr"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 library(dplyr)
 
 lung_surv \%>\%
@@ -97,6 +98,7 @@ lung_surv \%>\%
     truth = surv_obj,
     .pred
   )
+\dontshow{\}) # examplesIf}
 }
 \references{
 E. Graf, C. Schmoor, W. Sauerbrei, and M. Schumacher, “Assessment
diff --git a/man/ccc.Rd b/man/ccc.Rd
index 5306edb1..03fa5b62 100644
--- a/man/ccc.Rd
+++ b/man/ccc.Rd
@@ -107,8 +107,8 @@ coefficient to evaluate reproducibility". \emph{Biometrics}, 53(4),
 }
 \seealso{
 Other numeric metrics: 
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -119,19 +119,19 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other consistency metrics: 
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
-\code{\link{rsq}()}
+\code{\link{rsq}()},
+\code{\link{rsq_trad}()}
 
 Other accuracy metrics: 
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/conf_mat.Rd b/man/conf_mat.Rd
index 490555cc..8768c01c 100644
--- a/man/conf_mat.Rd
+++ b/man/conf_mat.Rd
@@ -73,6 +73,7 @@ is implemented.
 The function requires that the factors have exactly the same levels.
 }
 \examples{
+\dontshow{if (rlang::is_installed(c("tidyr", "ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 library(dplyr)
 data("hpc_cv")
 
@@ -118,6 +119,7 @@ library(ggplot2)
 
 autoplot(cm, type = "mosaic")
 autoplot(cm, type = "heatmap")
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 \code{\link[=summary.conf_mat]{summary.conf_mat()}} for computing a large number of metrics from one
diff --git a/man/gain_capture.Rd b/man/gain_capture.Rd
index 4ccf41fa..1ab05ea3 100644
--- a/man/gain_capture.Rd
+++ b/man/gain_capture.Rd
@@ -175,6 +175,7 @@ gain_capture_vec(
    )
 )
 
+\dontshow{if (rlang::is_installed(c("ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # ---------------------------------------------------------------------------
 # Visualize gain_capture()
 
@@ -182,7 +183,7 @@ gain_capture_vec(
 # 45 degree line, divided by the area of the shaded triangle.
 library(ggplot2)
 autoplot(gain_curve(two_class_example, truth, Class1))
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 Engelmann, Bernd & Hayden, Evelyn & Tasche, Dirk (2003).
diff --git a/man/gain_curve.Rd b/man/gain_curve.Rd
index ced9bada..38eed6f4 100644
--- a/man/gain_curve.Rd
+++ b/man/gain_curve.Rd
@@ -137,6 +137,7 @@ data(two_class_example)
 # `"truth"`, it is the event of interest and we pass in probabilities for it.
 gain_curve(two_class_example, truth, Class1)
 
+\dontshow{if (rlang::is_installed(c("ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # ---------------------------------------------------------------------------
 # `autoplot()`
 
@@ -161,7 +162,7 @@ hpc_cv \%>\%
   group_by(Resample) \%>\%
   gain_curve(obs, VF:L) \%>\%
   autoplot()
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 Engelmann, Bernd & Hayden, Evelyn & Tasche, Dirk (2003).
diff --git a/man/huber_loss.Rd b/man/huber_loss.Rd
index 7ab42eb9..e7475ec7 100644
--- a/man/huber_loss.Rd
+++ b/man/huber_loss.Rd
@@ -118,8 +118,8 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
diff --git a/man/huber_loss_pseudo.Rd b/man/huber_loss_pseudo.Rd
index 13ef94b3..3246e05b 100644
--- a/man/huber_loss_pseudo.Rd
+++ b/man/huber_loss_pseudo.Rd
@@ -120,8 +120,8 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
diff --git a/man/iic.Rd b/man/iic.Rd
index 530bf8bd..d6f52aa5 100644
--- a/man/iic.Rd
+++ b/man/iic.Rd
@@ -104,8 +104,8 @@ permeability?" \emph{Science of the Total Environment}. 586: 466-472.
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
 \code{\link{mase}()},
@@ -115,14 +115,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
 \code{\link{mase}()},
diff --git a/man/lift_curve.Rd b/man/lift_curve.Rd
index f64e8c87..d4777a9d 100644
--- a/man/lift_curve.Rd
+++ b/man/lift_curve.Rd
@@ -135,6 +135,7 @@ data(two_class_example)
 # `"truth"`, it is the event of interest and we pass in probabilities for it.
 lift_curve(two_class_example, truth, Class1)
 
+\dontshow{if (rlang::is_installed(c("ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # ---------------------------------------------------------------------------
 # `autoplot()`
 
@@ -156,7 +157,7 @@ hpc_cv \%>\%
   group_by(Resample) \%>\%
   lift_curve(obs, VF:L) \%>\%
   autoplot()
-
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 Other curve metrics: 
diff --git a/man/mae.Rd b/man/mae.Rd
index 1059a945..e4462d8f 100644
--- a/man/mae.Rd
+++ b/man/mae.Rd
@@ -84,8 +84,8 @@ metric_results \%>\%
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mape}()},
 \code{\link{mase}()},
@@ -95,14 +95,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mape}()},
 \code{\link{mase}()},
diff --git a/man/mape.Rd b/man/mape.Rd
index 52f4400b..69a3c25c 100644
--- a/man/mape.Rd
+++ b/man/mape.Rd
@@ -88,8 +88,8 @@ metric_results \%>\%
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mase}()},
@@ -99,14 +99,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mase}()},
diff --git a/man/mase.Rd b/man/mase.Rd
index b6d756b4..1b8bb710 100644
--- a/man/mase.Rd
+++ b/man/mase.Rd
@@ -132,8 +132,8 @@ INTERMITTENT DEMAND. \emph{Foresight}, 4, 46.
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -143,14 +143,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/mpe.Rd b/man/mpe.Rd
index a5f295fa..58d08d81 100644
--- a/man/mpe.Rd
+++ b/man/mpe.Rd
@@ -98,8 +98,8 @@ metric_results \%>\%
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -109,14 +109,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/msd.Rd b/man/msd.Rd
index adb120d9..45ecff40 100644
--- a/man/msd.Rd
+++ b/man/msd.Rd
@@ -97,8 +97,8 @@ metric_results \%>\%
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -108,14 +108,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/poisson_log_loss.Rd b/man/poisson_log_loss.Rd
index 5301310b..03306105 100644
--- a/man/poisson_log_loss.Rd
+++ b/man/poisson_log_loss.Rd
@@ -60,8 +60,8 @@ poisson_log_loss(count_results, count, pred)
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -71,14 +71,14 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/pr_curve.Rd b/man/pr_curve.Rd
index 0771042c..cb216c96 100644
--- a/man/pr_curve.Rd
+++ b/man/pr_curve.Rd
@@ -100,6 +100,7 @@ data(two_class_example)
 # `"truth"`, it is the event of interest and we pass in probabilities for it.
 pr_curve(two_class_example, truth, Class1)
 
+\dontshow{if (rlang::is_installed(c("ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # ---------------------------------------------------------------------------
 # `autoplot()`
 
@@ -127,7 +128,7 @@ hpc_cv \%>\%
   group_by(Resample) \%>\%
   pr_curve(obs, VF:L) \%>\%
   autoplot()
-
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 Compute the area under the precision recall curve with \code{\link[=pr_auc]{pr_auc()}}.
diff --git a/man/rmse.Rd b/man/rmse.Rd
index d62fb43f..ee8ef9b2 100644
--- a/man/rmse.Rd
+++ b/man/rmse.Rd
@@ -84,8 +84,8 @@ metric_results \%>\%
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -95,14 +95,14 @@ Other numeric metrics:
 \code{\link{poisson_log_loss}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/roc_auc_survival.Rd b/man/roc_auc_survival.Rd
index 5fdf594e..06fd4396 100644
--- a/man/roc_auc_survival.Rd
+++ b/man/roc_auc_survival.Rd
@@ -79,6 +79,7 @@ This method automatically groups by the \code{.eval_time} argument.
 Larger values of the score are associated with better model performance.
 }
 \examples{
+\dontshow{if (rlang::is_installed(c("tidyr"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 library(dplyr)
 
 lung_surv \%>\%
@@ -86,6 +87,7 @@ lung_surv \%>\%
     truth = surv_obj,
     .pred
   )
+\dontshow{\}) # examplesIf}
 }
 \references{
 Blanche, P., Dartigues, J.-F. and Jacqmin-Gadda, H. (2013), Review and
@@ -100,8 +102,8 @@ and comparison of prognostic classification schemes for survival data.
 Compute the ROC survival curve with \code{\link[=roc_curve_survival]{roc_curve_survival()}}.
 
 Other dynamic survival metrics: 
-\code{\link{brier_survival_integrated}()},
-\code{\link{brier_survival}()}
+\code{\link{brier_survival}()},
+\code{\link{brier_survival_integrated}()}
 }
 \author{
 Emil Hvitfeldt
diff --git a/man/roc_curve.Rd b/man/roc_curve.Rd
index 3231a26f..fe27e188 100644
--- a/man/roc_curve.Rd
+++ b/man/roc_curve.Rd
@@ -109,6 +109,7 @@ data(two_class_example)
 # `"truth"`, it is the event of interest and we pass in probabilities for it.
 roc_curve(two_class_example, truth, Class1)
 
+\dontshow{if (rlang::is_installed(c("ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # ---------------------------------------------------------------------------
 # `autoplot()`
 
@@ -140,7 +141,7 @@ hpc_cv \%>\%
   roc_curve(obs, VF:L) \%>\%
   autoplot()
 }
-
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 Compute the area under the ROC curve with \code{\link[=roc_auc]{roc_auc()}}.
diff --git a/man/roc_curve_survival.Rd b/man/roc_curve_survival.Rd
index 763377a3..3b5d5333 100644
--- a/man/roc_curve_survival.Rd
+++ b/man/roc_curve_survival.Rd
@@ -65,6 +65,7 @@ internal data set \code{lung_surv} shows an example of the format.
 This method automatically groups by the \code{.eval_time} argument.
 }
 \examples{
+\dontshow{if (rlang::is_installed(c("ggplot2"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 result <- roc_curve_survival(
   lung_surv,
   truth = surv_obj,
@@ -91,6 +92,7 @@ result \%>\%
 
 # Or use autoplot
 autoplot(result)
+\dontshow{\}) # examplesIf}
 }
 \references{
 Blanche, P., Dartigues, J.-F. and Jacqmin-Gadda, H. (2013), Review and
diff --git a/man/rpd.Rd b/man/rpd.Rd
index 251ce5aa..2a4ff81d 100644
--- a/man/rpd.Rd
+++ b/man/rpd.Rd
@@ -114,8 +114,8 @@ The closely related inter-quartile metric: \code{\link[=rpiq]{rpiq()}}
 
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -125,15 +125,15 @@ Other numeric metrics:
 \code{\link{poisson_log_loss}()},
 \code{\link{rmse}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other consistency metrics: 
 \code{\link{ccc}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
-\code{\link{rsq}()}
+\code{\link{rsq}()},
+\code{\link{rsq_trad}()}
 }
 \author{
 Pierre Roudier
diff --git a/man/rpiq.Rd b/man/rpiq.Rd
index 987b67c1..ccd35e0a 100644
--- a/man/rpiq.Rd
+++ b/man/rpiq.Rd
@@ -114,8 +114,8 @@ The closely related deviation metric: \code{\link[=rpd]{rpd()}}
 
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -125,15 +125,15 @@ Other numeric metrics:
 \code{\link{poisson_log_loss}()},
 \code{\link{rmse}()},
 \code{\link{rpd}()},
-\code{\link{rsq_trad}()},
 \code{\link{rsq}()},
+\code{\link{rsq_trad}()},
 \code{\link{smape}()}
 
 Other consistency metrics: 
 \code{\link{ccc}()},
 \code{\link{rpd}()},
-\code{\link{rsq_trad}()},
-\code{\link{rsq}()}
+\code{\link{rsq}()},
+\code{\link{rsq_trad}()}
 }
 \author{
 Pierre Roudier
diff --git a/man/rsq.Rd b/man/rsq.Rd
index 1e88937b..19f421bd 100644
--- a/man/rsq.Rd
+++ b/man/rsq.Rd
@@ -118,8 +118,8 @@ American Statistician (1985) vol. 39 (4) pp. 279-285.
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/rsq_trad.Rd b/man/rsq_trad.Rd
index 2cc7c9cb..1fe77abd 100644
--- a/man/rsq_trad.Rd
+++ b/man/rsq_trad.Rd
@@ -104,8 +104,8 @@ American Statistician (1985) vol. 39 (4) pp. 279-285.
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/smape.Rd b/man/smape.Rd
index 313bec13..e08b969b 100644
--- a/man/smape.Rd
+++ b/man/smape.Rd
@@ -88,8 +88,8 @@ metric_results \%>\%
 \seealso{
 Other numeric metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
@@ -100,13 +100,13 @@ Other numeric metrics:
 \code{\link{rmse}()},
 \code{\link{rpd}()},
 \code{\link{rpiq}()},
-\code{\link{rsq_trad}()},
-\code{\link{rsq}()}
+\code{\link{rsq}()},
+\code{\link{rsq_trad}()}
 
 Other accuracy metrics: 
 \code{\link{ccc}()},
-\code{\link{huber_loss_pseudo}()},
 \code{\link{huber_loss}()},
+\code{\link{huber_loss_pseudo}()},
 \code{\link{iic}()},
 \code{\link{mae}()},
 \code{\link{mape}()},
diff --git a/man/summary.conf_mat.Rd b/man/summary.conf_mat.Rd
index 0c576133..8c83e161 100644
--- a/man/summary.conf_mat.Rd
+++ b/man/summary.conf_mat.Rd
@@ -58,6 +58,7 @@ the "one" level is always the relevant result.
 }
 
 \examples{
+\dontshow{if (rlang::is_installed(c("tidyr"))) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 data("two_class_example")
 
 cmat <- conf_mat(two_class_example, truth = "truth", estimate = "predicted")
@@ -81,6 +82,7 @@ all_metrics \%>\%
     mean = mean(.estimate, na.rm = TRUE),
     sd = sd(.estimate, na.rm = TRUE)
   )
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 \code{\link[=conf_mat]{conf_mat()}}
diff --git a/tests/testthat/test-aaa-metrics.R b/tests/testthat/test-aaa-metrics.R
index 01f1d80d..bc461124 100644
--- a/tests/testthat/test-aaa-metrics.R
+++ b/tests/testthat/test-aaa-metrics.R
@@ -139,6 +139,7 @@ test_that("can mix class and class prob metrics together", {
 })
 
 test_that("dynamic survival metric sets", {
+  skip_if_not_installed("tidyr")
   my_set <- metric_set(brier_survival)
 
   expect_equal(
@@ -148,6 +149,7 @@ test_that("dynamic survival metric sets", {
 })
 
 test_that("can mix dynamic and static survival metric together", {
+  skip_if_not_installed("tidyr")
   expect_no_error(
     mixed_set <- metric_set(brier_survival, concordance_survival)
   )
@@ -157,6 +159,8 @@ test_that("can mix dynamic and static survival metric together", {
 })
 
 test_that("can mix dynamic and static survival metric together", {
+  skip_if_not_installed("tidyr")
+
   expect_no_error(
     mixed_set <- metric_set(
       brier_survival,
@@ -417,6 +421,8 @@ test_that("propagates 'caused by' error message when specifying the wrong column
 })
 
 test_that("metric_tweak and metric_set plays nicely together (#351)", {
+  skip_if_not_installed("tidyr")
+
   # Classification
   multi_ex <- data_three_by_three()
 
diff --git a/tests/testthat/test-autoplot.R b/tests/testthat/test-autoplot.R
index bd3ce9c0..286e6638 100644
--- a/tests/testthat/test-autoplot.R
+++ b/tests/testthat/test-autoplot.R
@@ -1,3 +1,5 @@
+skip_if_not_installed("ggplot2")
+
 # As of R 3.6, cannot rely on old sample() results to be the same.
 # Pre R 3.6, they were generated like this, and we have saved them
 # as static values to be more reproducible
diff --git a/tests/testthat/test-fair-aaa.R b/tests/testthat/test-fair-aaa.R
index 2a84d6e5..72e153d7 100644
--- a/tests/testthat/test-fair-aaa.R
+++ b/tests/testthat/test-fair-aaa.R
@@ -38,6 +38,8 @@ test_that("basic functionality", {
 })
 
 test_that("new_groupwise_metric() works with grouped input", {
+  skip_if_not_installed("tidyr")
+
   data("hpc_cv")
   hpc_cv$group <- sample(c("a", "b"), nrow(hpc_cv), replace = TRUE)
 
diff --git a/tests/testthat/test-surv-brier_survival.R b/tests/testthat/test-surv-brier_survival.R
index 25b641cf..e24b1e20 100644
--- a/tests/testthat/test-surv-brier_survival.R
+++ b/tests/testthat/test-surv-brier_survival.R
@@ -1,4 +1,6 @@
 test_that("case weights", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   brier_res <- brier_survival(
@@ -14,6 +16,8 @@ test_that("case weights", {
 })
 
 test_that("case weights", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$case_wts <- rep(2, nrow(lung_surv))
 
@@ -37,6 +41,8 @@ test_that("case weights", {
 })
 
 test_that("works with hardhat case weights", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$case_wts <- rep(2, nrow(lung_surv))
 
@@ -57,6 +63,8 @@ test_that("works with hardhat case weights", {
 # riskRegression compare -------------------------------------------------------
 
 test_that("riskRegression equivalent", {
+  skip_if_not_installed("tidyr")
+
   riskRegression_res <- readRDS(test_path("data/brier_churn_res.rds"))
 
   yardstick_res <- readRDS(test_path("data/tidy_churn.rds")) %>%
diff --git a/tests/testthat/test-surv-brier_survival_integrated.R b/tests/testthat/test-surv-brier_survival_integrated.R
index 564ae1ac..cf68c26b 100644
--- a/tests/testthat/test-surv-brier_survival_integrated.R
+++ b/tests/testthat/test-surv-brier_survival_integrated.R
@@ -1,4 +1,6 @@
 test_that("brier_survival_integrated calculations", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   brier_res <- brier_survival(
@@ -23,6 +25,8 @@ test_that("brier_survival_integrated calculations", {
 })
 
 test_that("brier_survival_integrated calculations", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   lung_surv$.pred <- lapply(lung_surv$.pred, function(x) x[1, ])
@@ -38,6 +42,8 @@ test_that("brier_survival_integrated calculations", {
 })
 
 test_that("case weights", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$case_wts <- seq_len(nrow(lung_surv))
 
@@ -66,6 +72,8 @@ test_that("case weights", {
 
 
 test_that("works with hardhat case weights", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$case_wts <- rep(2, nrow(lung_surv))
 
@@ -81,4 +89,4 @@ test_that("works with hardhat case weights", {
   expect_no_error(
     brier_survival_integrated(df, truth = surv_obj, .pred, case_weights = freq_wgt)
   )
-})
\ No newline at end of file
+})
diff --git a/tests/testthat/test-surv-roc_auc_survival.R b/tests/testthat/test-surv-roc_auc_survival.R
index e082b6a9..9a93cad4 100644
--- a/tests/testthat/test-surv-roc_auc_survival.R
+++ b/tests/testthat/test-surv-roc_auc_survival.R
@@ -1,4 +1,6 @@
 test_that("roc_curve_auc() calculations", {
+  skip_if_not_installed("tidyr")
+
   survival_curve <- roc_curve_survival(
     lung_surv,
     truth = surv_obj,
@@ -24,6 +26,8 @@ test_that("roc_curve_auc() calculations", {
 # case weights -----------------------------------------------------------------
 
 test_that("case weights are applied", {
+  skip_if_not_installed("tidyr")
+
   wts_res <- lung_surv %>%
     dplyr::mutate(wts = hardhat::frequency_weights(rep(1:0, c(128, 100)))) %>%
     roc_auc_survival(
@@ -43,6 +47,8 @@ test_that("case weights are applied", {
 })
 
 test_that("works with hardhat case weights", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$case_wts <- rep(2, nrow(lung_surv))
 
@@ -63,6 +69,8 @@ test_that("works with hardhat case weights", {
 # self checking ----------------------------------------------------------------
 
 test_that("snapshot equivalent", {
+  skip_if_not_installed("tidyr")
+
   snapshot_res <- readRDS(test_path("data/ref_roc_auc_survival.rds"))
 
   yardstick_res <- readRDS(test_path("data/tidy_churn.rds")) %>%
@@ -85,6 +93,8 @@ test_that("snapshot equivalent", {
 # riskRegression compare -------------------------------------------------------
 
 test_that("riskRegression equivalent", {
+  skip_if_not_installed("tidyr")
+
   riskRegression_res <- readRDS(test_path("data/auc_churn_res.rds"))
 
   yardstick_res <- readRDS(test_path("data/tidy_churn.rds")) %>%
diff --git a/tests/testthat/test-surv-roc_curve_survival.R b/tests/testthat/test-surv-roc_curve_survival.R
index 7f022723..d08427a8 100644
--- a/tests/testthat/test-surv-roc_curve_survival.R
+++ b/tests/testthat/test-surv-roc_curve_survival.R
@@ -1,4 +1,6 @@
 test_that("roc_curve_survival works", {
+  skip_if_not_installed("tidyr")
+
   result <- roc_curve_survival(
     lung_surv,
     truth = surv_obj,
@@ -40,6 +42,8 @@ test_that("roc_curve_survival works", {
 # case weights -----------------------------------------------------------------
 
 test_that("case weights are applied", {
+  skip_if_not_installed("tidyr")
+
   wts_res <- lung_surv %>%
     dplyr::mutate(wts = hardhat::frequency_weights(rep(1:0, c(128, 100)))) %>%
     roc_curve_survival(
@@ -61,6 +65,8 @@ test_that("case weights are applied", {
 # self checking ----------------------------------------------------------------
 
 test_that("snapshot equivalent", {
+  skip_if_not_installed("tidyr")
+
   snapshot_res <- readRDS(test_path("data/ref_roc_curve_survival.rds"))
 
   yardstick_res <- readRDS(test_path("data/tidy_churn.rds")) %>%
@@ -93,6 +99,8 @@ test_that("snapshot equivalent", {
 # Manual checking --------------------------------------------------------------
 
 test_that("hand calculated equivalent", {
+  skip_if_not_installed("tidyr")
+
   my_eval_time <- 300
 
   lung_surv0 <- lung_surv %>%
@@ -107,28 +115,28 @@ test_that("hand calculated equivalent", {
     delta <- .extract_surv_status(data$surv_obj)
     event_time <- .extract_surv_time(data$surv_obj)
     res <- dplyr::tibble(.threshold = sort(unique(c(-Inf, data$.pred_survival, Inf)), decreasing = TRUE))
-  
+
     obs_time_le_time <- event_time <= data$.eval_time
     obs_time_gt_time <- event_time > data$.eval_time
     n <- nrow(data)
-    
+
     sensitivity_denom <- sum(obs_time_le_time * delta * data$.weight_censored, na.rm = TRUE)
-    
+
     data_df <- data.frame(
       le_time = obs_time_le_time,
       delta = delta,
       weight_censored = data$.weight_censored
     )
-    
+
     data_split <- vec_split(data_df, data$.pred_survival)
     data_split <- data_split$val[order(data_split$key)]
-    
+
     sensitivity <- vapply(
       data_split,
       function(x) sum(x$le_time * x$delta * x$weight_censored, na.rm = TRUE),
       FUN.VALUE = numeric(1)
     )
-    
+
     sensitivity <- cumsum(sensitivity)
     sensitivity <- sensitivity / sensitivity_denom
     sensitivity <- dplyr::if_else(sensitivity > 1, 1, sensitivity)
@@ -157,17 +165,17 @@ test_that("hand calculated equivalent", {
     event_time <- yardstick:::.extract_surv_time(data$surv_obj)
 
     res <- dplyr::tibble(.threshold = sort(unique(c(-Inf, data$.pred_survival, Inf)), decreasing = TRUE))
-  
+
     obs_time_gt_time <- event_time > data$.eval_time
     n <- nrow(data)
-    
+
     specificity_denom <- sum(obs_time_gt_time * data$.weight_censored, na.rm = TRUE)
-    
+
     data_df <- data.frame(
       ge_time = obs_time_gt_time,
       weight_censored = data$.weight_censored
     )
-    
+
     data_split <- vec_split(data_df, data$.pred_survival)
     data_split <- data_split$val[order(data_split$key)]
 
diff --git a/tests/testthat/test-template.R b/tests/testthat/test-template.R
index 8d4642d1..a3db85cc 100644
--- a/tests/testthat/test-template.R
+++ b/tests/testthat/test-template.R
@@ -1044,6 +1044,8 @@ test_that("curve_metric_summarizer() handles column name collisions", {
 ## dynamic_survival_metric_summarizer -----------------------------------------
 
 test_that("dynamic_survival_metric_summarizer() works as expected", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   brier_survival_res <- dynamic_survival_metric_summarizer(
@@ -1071,6 +1073,8 @@ test_that("dynamic_survival_metric_summarizer() works as expected", {
 })
 
 test_that("dynamic_survival_metric_summarizer() works with grouped input", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$group <- rep(1:2, length.out = nrow(lung_surv))
 
@@ -1107,6 +1111,8 @@ test_that("dynamic_survival_metric_summarizer() works with grouped input", {
 })
 
 test_that("dynamic_survival_metric_summarizer()'s na_rm argument works", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv[1:5, 3] <- NA
 
@@ -1160,6 +1166,8 @@ test_that("dynamic_survival_metric_summarizer()'s na_rm argument works", {
 })
 
 test_that("dynamic_survival_metric_summarizer()'s case_weights argument works", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$wts <- seq_len(nrow(lung_surv))
 
@@ -1189,6 +1197,8 @@ test_that("dynamic_survival_metric_summarizer()'s case_weights argument works",
 })
 
 test_that("dynamic_survival_metric_summarizer()'s errors with bad input", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   brier_survival_res <- dynamic_survival_metric_summarizer(
@@ -1236,6 +1246,8 @@ test_that("dynamic_survival_metric_summarizer()'s errors with bad input", {
 })
 
 test_that("dynamic_survival_metric_summarizer() deals with characters in truth and estimate", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   brier_survival_res <- dynamic_survival_metric_summarizer(
@@ -1263,6 +1275,8 @@ test_that("dynamic_survival_metric_summarizer() deals with characters in truth a
 })
 
 test_that("dynamic_survival_metric_summarizer() handles column name collisions", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   new_lung_surv <- lung_surv
@@ -1521,6 +1535,8 @@ test_that("static_survival_metric_summarizer() deals with characters in truth an
 ## curve_survival_metric_summarizer -----------------------------------------
 
 test_that("curve_survival_metric_summarizer() works as expected", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   roc_curve_survival_res <- curve_survival_metric_summarizer(
@@ -1546,6 +1562,8 @@ test_that("curve_survival_metric_summarizer() works as expected", {
 })
 
 test_that("curve_survival_metric_summarizer() works with grouped input", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$group <- rep(1:2, length.out = nrow(lung_surv))
 
@@ -1577,6 +1595,8 @@ test_that("curve_survival_metric_summarizer() works with grouped input", {
 })
 
 test_that("curve_survival_metric_summarizer()'s na_rm argument works", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv[1:5, 3] <- NA
 
@@ -1623,6 +1643,8 @@ test_that("curve_survival_metric_summarizer()'s na_rm argument works", {
 })
 
 test_that("curve_survival_metric_summarizer()'s case_weights argument works", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
   lung_surv$wts <- seq_len(nrow(lung_surv))
 
@@ -1650,6 +1672,8 @@ test_that("curve_survival_metric_summarizer()'s case_weights argument works", {
 })
 
 test_that("curve_survival_metric_summarizer()'s errors with bad input", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   roc_curve_survival_res <- curve_survival_metric_summarizer(
@@ -1696,7 +1720,9 @@ test_that("curve_survival_metric_summarizer()'s errors with bad input", {
   )
 })
 
-test_that("curve_survival_metric_summarizer() deals with characters in truth and estimate", {
+test_that("curve_survival_metric_summarizer() deals with characters n truth and estimate", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   roc_curve_survival_res <- curve_survival_metric_summarizer(
@@ -1722,6 +1748,8 @@ test_that("curve_survival_metric_summarizer() deals with characters in truth and
 })
 
 test_that("curve_survival_metric_summarizer() handles column name collisions", {
+  skip_if_not_installed("tidyr")
+
   lung_surv <- data_lung_surv()
 
   new_lung_surv <- lung_surv