diff --git a/R/aaa_models.R b/R/aaa_models.R
index c27d21379..6cc08f40e 100644
--- a/R/aaa_models.R
+++ b/R/aaa_models.R
@@ -54,7 +54,7 @@ model_info_table <-
 #' @keywords internal
 #' @references "How to build a parsnip model"
 #'  \url{https://www.tidymodels.org/learn/develop/models/}
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # Access the model data:
 #' current_code <- get_model_env()
 #' ls(envir = current_code)
@@ -552,7 +552,7 @@ check_interface_val <- function(x) {
 #'
 #' @references "How to build a parsnip model"
 #'  \url{https://www.tidymodels.org/learn/develop/models/}
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # set_new_model("shallow_learning_model")
 #'
 #' # Show the information about a model:
diff --git a/R/aaa_multi_predict.R b/R/aaa_multi_predict.R
index 9970c51d3..580bb0052 100644
--- a/R/aaa_multi_predict.R
+++ b/R/aaa_multi_predict.R
@@ -53,7 +53,7 @@ predict.model_spec <- function(object, ...) {
 #'  `multi_predict_args()` returns a character vector of argument names (or `NA`
 #'  if none exist).
 #' @keywords internal
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' lm_model_idea <- linear_reg() %>% set_engine("lm")
 #' has_multi_predict(lm_model_idea)
 #' lm_model_fit <- fit(lm_model_idea, mpg ~ ., data = mtcars)
diff --git a/R/adds.R b/R/adds.R
index 613241d7d..a210958fa 100644
--- a/R/adds.R
+++ b/R/adds.R
@@ -2,7 +2,7 @@
 #'
 #' @param x A data frame
 #' @return The same data frame with a column of 1-based integers named `.row`.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' mtcars %>% add_rowindex()
 #' @export
 add_rowindex <- function(x) {
diff --git a/R/arguments.R b/R/arguments.R
index ed0369efd..2ed1de0af 100644
--- a/R/arguments.R
+++ b/R/arguments.R
@@ -40,7 +40,7 @@ check_eng_args <- function(args, obj, core_args) {
 #' @return An updated model object.
 #' @details `set_args()` will replace existing values of the arguments.
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' rand_forest()
 #'
 #' rand_forest() %>%
@@ -294,7 +294,7 @@ make_xy_call <- function(object, target, env) {
 #' @param offset A number subtracted off of the number of rows available in the
 #' data.
 #' @return An integer (and perhaps a warning).
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 
 #' nearest_neighbor(neighbors= 100) %>%
 #'   set_engine("kknn") %>%
diff --git a/R/augment.R b/R/augment.R
index 723a1d6a6..6e55055a6 100644
--- a/R/augment.R
+++ b/R/augment.R
@@ -37,7 +37,7 @@
 #' @references
 #' \url{https://www.tidymodels.org/learn/statistics/survival-metrics/}
 #' @export
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' car_trn <- mtcars[11:32,]
 #' car_tst <- mtcars[ 1:10,]
 #'
diff --git a/R/bart.R b/R/bart.R
index ed8f08e9b..63c8d83e5 100644
--- a/R/bart.R
+++ b/R/bart.R
@@ -42,7 +42,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("bart")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("bart")
 #'
 #' bart(mode = "regression", trees = 5)
diff --git a/R/boost_tree.R b/R/boost_tree.R
index 6e65ea8e0..60c0417a8 100644
--- a/R/boost_tree.R
+++ b/R/boost_tree.R
@@ -47,7 +47,7 @@
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("boost_tree")},
 #' [xgb_train()], [C5.0_train()]
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("boost_tree")
 #'
 #' boost_tree(mode = "classification", trees = 20)
diff --git a/R/c5_rules.R b/R/c5_rules.R
index dbe519127..c48d0382b 100644
--- a/R/c5_rules.R
+++ b/R/c5_rules.R
@@ -39,7 +39,7 @@
 #' @seealso [C50::C5.0()], [C50::C5.0Control()],
 #' \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("C5_rules")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("C5_rules")
 #'
 #' C5_rules()
@@ -73,7 +73,7 @@ C5_rules <-
 #'
 #' @param object A `C5_rules` model specification.
 #' @inheritParams update.boost_tree
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' # ------------------------------------------------------------------------------
 #'
diff --git a/R/condense_control.R b/R/condense_control.R
index e9cc3e9cd..cdb077572 100644
--- a/R/condense_control.R
+++ b/R/condense_control.R
@@ -13,7 +13,7 @@
 #' @keywords internal
 #' @export
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' ctrl <- control_parsnip(catch = TRUE)
 #' ctrl$allow_par <- TRUE
 #' str(ctrl)
diff --git a/R/control_parsnip.R b/R/control_parsnip.R
index 687fe51bb..5054b08d8 100644
--- a/R/control_parsnip.R
+++ b/R/control_parsnip.R
@@ -15,7 +15,7 @@
 #' @return An S3 object with class "control_parsnip" that is a named list
 #' with the results of the function call
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' control_parsnip(verbosity = 2L)
 #'
 #' @export
diff --git a/R/cubist_rules.R b/R/cubist_rules.R
index ae6636f42..b1eb3f237 100644
--- a/R/cubist_rules.R
+++ b/R/cubist_rules.R
@@ -95,7 +95,7 @@ cubist_rules <-
 # ------------------------------------------------------------------------------
 
 #' @param object A Cubist model specification.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' # ------------------------------------------------------------------------------
 #'
diff --git a/R/data.R b/R/data.R
index 52c59a01b..41b778416 100644
--- a/R/data.R
+++ b/R/data.R
@@ -8,7 +8,7 @@
 #' @docType data
 #' @return \item{model_db}{a data frame}
 #' @keywords datasets internal
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' data(model_db)
 NULL
 
diff --git a/R/decision_tree.R b/R/decision_tree.R
index 3a8753813..e234e43de 100644
--- a/R/decision_tree.R
+++ b/R/decision_tree.R
@@ -26,7 +26,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("decision_tree")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("decision_tree")
 #'
 #' decision_tree(mode = "classification", tree_depth = 5)
diff --git a/R/engine_docs.R b/R/engine_docs.R
index a87735eb4..0ad656167 100644
--- a/R/engine_docs.R
+++ b/R/engine_docs.R
@@ -137,7 +137,7 @@ update_model_info_file <- function(path = "inst/models.tsv") {
 #' @name doc-tools
 #' @keywords internal
 #' @export
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # See this file for step-by-step instructions.
 #' system.file("README-DOCS.md", package = "parsnip")
 #'
diff --git a/R/engines.R b/R/engines.R
index 270386c98..050f08dfc 100644
--- a/R/engines.R
+++ b/R/engines.R
@@ -90,7 +90,7 @@ load_libs <- function(x, quiet, attach = FALSE) {
 #' @param ... Any optional arguments associated with the chosen computational
 #'  engine. These are captured as quosures and can be tuned with `tune()`.
 #' @return An updated model specification.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # First, set main arguments using the standardized names
 #' logistic_reg(penalty = 0.01, mixture = 1/3) %>%
 #'   # Now specify how you want to fit the model with another argument
@@ -160,7 +160,7 @@ set_engine.default <- function(object, engine, ...) {
 #' @param x The name of a `parsnip` model (e.g., "linear_reg", "mars", etc.)
 #' @return A tibble.
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("linear_reg")
 #' @export
 show_engines <- function(x) {
diff --git a/R/extract.R b/R/extract.R
index 4a3b71c8b..4dbe4b0b7 100644
--- a/R/extract.R
+++ b/R/extract.R
@@ -41,7 +41,7 @@
 #' section.
 #'
 #' @name extract-parsnip
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' lm_spec <- linear_reg() %>% set_engine("lm")
 #' lm_fit <- fit(lm_spec, mpg ~ ., data = mtcars)
 #'
diff --git a/R/fit.R b/R/fit.R
index ca74aa9ec..7ab57e425 100644
--- a/R/fit.R
+++ b/R/fit.R
@@ -55,7 +55,7 @@
 #' a "reverse Kaplan-Meier" curve that models the probability of censoring. This
 #' may be used later to compute inverse probability censoring weights for
 #' performance measures.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # Although `glm()` only has a formula interface, different
 #' # methods for specifying the model can be used
 #'
diff --git a/R/fit_control.R b/R/fit_control.R
index bea8b288e..b75795546 100644
--- a/R/fit_control.R
+++ b/R/fit_control.R
@@ -18,7 +18,7 @@
 #' @return An S3 object with class "control_parsnip" that is a named list
 #' with the results of the function call
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' fit_control(verbosity = 2L)
 #'
 #' @details
diff --git a/R/gen_additive_mod.R b/R/gen_additive_mod.R
index f71036b1f..2633b9b78 100644
--- a/R/gen_additive_mod.R
+++ b/R/gen_additive_mod.R
@@ -24,7 +24,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("gen_additive_mod")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("gen_additive_mod")
 #'
 #' gen_additive_mod()
diff --git a/R/grouped_binomial.R b/R/grouped_binomial.R
index b3c7b12ca..56e38f292 100644
--- a/R/grouped_binomial.R
+++ b/R/grouped_binomial.R
@@ -21,7 +21,7 @@
 #' @param ... Options to pass to [stats::glm()]. If `family` is not set, it will
 #' automatically be assigned the basic binomial family.
 #' @return A object produced by [stats::glm()].
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' #----------------------------------------------------------------------------
 #' # The same data set formatted three ways
 #'
diff --git a/R/linear_reg.R b/R/linear_reg.R
index 926d533a3..f7432bb95 100644
--- a/R/linear_reg.R
+++ b/R/linear_reg.R
@@ -33,7 +33,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("linear_reg")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("linear_reg")
 #'
 #' linear_reg()
diff --git a/R/logistic_reg.R b/R/logistic_reg.R
index 31c974167..92ca9333a 100644
--- a/R/logistic_reg.R
+++ b/R/logistic_reg.R
@@ -40,7 +40,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("logistic_reg")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("logistic_reg")
 #'
 #' logistic_reg()
diff --git a/R/mars.R b/R/mars.R
index 767cbd7a2..3a29f0f70 100644
--- a/R/mars.R
+++ b/R/mars.R
@@ -25,7 +25,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("mars")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("mars")
 #'
 #' mars(mode = "regression", num_terms = 5)
diff --git a/R/misc.R b/R/misc.R
index 7e6a7c469..4d3aad198 100644
--- a/R/misc.R
+++ b/R/misc.R
@@ -526,3 +526,20 @@ check_for_newdata <- function(..., call = rlang::caller_env()) {
     )
   }
 }
+
+
+# ------------------------------------------------------------------------------
+
+# driven by https://github.com/Rdatatable/data.table/issues/5658
+# nocov start
+# adapted from ps:::is_cran_check()
+is_cran_check <- function() {
+  if (identical(Sys.getenv("NOT_CRAN"), "true")) {
+    FALSE
+  }
+  else {
+    Sys.getenv("_R_CHECK_PACKAGE_NAME_", "") != ""
+  }
+}
+# nocov end
+
diff --git a/R/mlp.R b/R/mlp.R
index d1b2e9bfa..1f134ffcb 100644
--- a/R/mlp.R
+++ b/R/mlp.R
@@ -30,7 +30,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("mlp")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("mlp")
 #'
 #' mlp(mode = "classification", penalty = 0.01)
diff --git a/R/model_object_docs.R b/R/model_object_docs.R
index 669f984d2..6b59f35d0 100644
--- a/R/model_object_docs.R
+++ b/R/model_object_docs.R
@@ -175,7 +175,7 @@ NULL
 #'  stores model objects after seeing the data and applying a model.
 #' @rdname model_fit
 #' @name model_fit
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' # Keep the `x` matrix if the data are not too big.
 #' spec_obj <-
diff --git a/R/multinom_reg.R b/R/multinom_reg.R
index f2697d36f..a4ac39b14 100644
--- a/R/multinom_reg.R
+++ b/R/multinom_reg.R
@@ -40,7 +40,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("multinom_reg")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("multinom_reg")
 #'
 #' multinom_reg()
diff --git a/R/nearest_neighbor.R b/R/nearest_neighbor.R
index a50dfcdd4..814673ef1 100644
--- a/R/nearest_neighbor.R
+++ b/R/nearest_neighbor.R
@@ -29,7 +29,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("nearest_neighbor")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("nearest_neighbor")
 #'
 #' nearest_neighbor(neighbors = 11)
diff --git a/R/nullmodel.R b/R/nullmodel.R
index 7f664fdcb..844310690 100644
--- a/R/nullmodel.R
+++ b/R/nullmodel.R
@@ -32,7 +32,7 @@
 #' `predict.nullmodel()` returns either a factor or numeric vector
 #' depending on the class of \code{y}. All predictions are always the same.
 #' @keywords models internal
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' outcome <- factor(sample(letters[1:2],
 #'                          size = 100,
@@ -140,7 +140,7 @@ predict.nullmodel <- function (object, new_data = NULL, type  = NULL, ...) {
 #' @includeRmd man/rmd/null-model.md details
 #'
 #' @seealso [fit.model_spec()]
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' null_model(mode = "regression")
 #' @export
 null_model <-
@@ -178,7 +178,7 @@ null_model <-
 #' @return A tibble with column `value`.
 #' @export
 #' @keywords internal
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' nullmodel(mtcars[,-1], mtcars$mpg) %>% tidy()
 
diff --git a/R/partykit.R b/R/partykit.R
index f6082e669..3ff8907a3 100644
--- a/R/partykit.R
+++ b/R/partykit.R
@@ -26,7 +26,7 @@
 #' @param ntree Number of trees to grow in a forest.
 #' @param ... Other options to pass to [partykit::ctree()] or [partykit::cforest()].
 #' @return An object of class `party` (for `ctree`) or `cforest`.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' if (rlang::is_installed(c("modeldata", "partykit"))) {
 #'   data(bivariate, package = "modeldata")
 #'   ctree_train(Class ~ ., data = bivariate_train)
@@ -184,7 +184,7 @@ cforest_train <-
 #' @param formula A model formula.
 #' @param data The training set (data frame).
 #' @return A value for `mtry`.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # should be 9
 #' max_mtry_formula(200, cbind(wt, mpg) ~ ., data = mtcars)
 #' @export
diff --git a/R/pls.R b/R/pls.R
index 8f697b7f1..5b1d82b1d 100644
--- a/R/pls.R
+++ b/R/pls.R
@@ -54,7 +54,7 @@ pls <-
 #' @param ... Not used for `update()`.
 #' @param fresh A logical for whether the arguments should be
 #'  modified in-place of or replaced wholesale.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' model <- pls(predictor_prop =  0.1)
 #' model
 #' update(model, predictor_prop = 1)
diff --git a/R/predict.R b/R/predict.R
index 996d663f2..327bd80ef 100644
--- a/R/predict.R
+++ b/R/predict.R
@@ -114,7 +114,7 @@
 #'  multivariate models.
 #' @references
 #' \url{https://www.tidymodels.org/learn/statistics/survival-metrics/}
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' library(dplyr)
 #'
 #' lm_model <-
diff --git a/R/proportional_hazards.R b/R/proportional_hazards.R
index 576e70715..b144ff4a3 100644
--- a/R/proportional_hazards.R
+++ b/R/proportional_hazards.R
@@ -27,7 +27,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("proportional_hazards")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("proportional_hazards")
 #'
 #' proportional_hazards(mode = "censored regression")
diff --git a/R/rand_forest.R b/R/rand_forest.R
index 19d368718..43d1331d8 100644
--- a/R/rand_forest.R
+++ b/R/rand_forest.R
@@ -27,7 +27,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("rand_forest")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("rand_forest")
 #'
 #' rand_forest(mode = "classification", trees = 2000)
diff --git a/R/repair_call.R b/R/repair_call.R
index 2450b2120..de6d5741f 100644
--- a/R/repair_call.R
+++ b/R/repair_call.R
@@ -13,7 +13,7 @@
 #'  is the data frame that was given to `parsnip` for the model fit (i.e., the
 #'  training set data). The name of this data object is inserted into the call.
 #' @return A modified `parsnip` fitted model.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' fitted_model <-
 #'   linear_reg() %>%
diff --git a/R/required_pkgs.R b/R/required_pkgs.R
index b49cad368..a68420ed4 100644
--- a/R/required_pkgs.R
+++ b/R/required_pkgs.R
@@ -5,7 +5,7 @@
 #' @param ... Not used.
 #' @return A character vector
 #' @name required_pkgs.model_spec
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' should_fail <- try(required_pkgs(linear_reg(engine = NULL)), silent = TRUE)
 #' should_fail
 #'
diff --git a/R/rule_fit.R b/R/rule_fit.R
index 44f6257c2..af6be8347 100644
--- a/R/rule_fit.R
+++ b/R/rule_fit.R
@@ -29,7 +29,7 @@
 #'
 #' @seealso [xrf::xrf.formula()], \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("rule_fit")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("rule_fit")
 #'
 #' rule_fit()
@@ -73,7 +73,7 @@ rule_fit <-
 # ------------------------------------------------------------------------------
 
 #' @param object A `rule_fit` model specification.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' # ------------------------------------------------------------------------------
 #'
 #' model <- rule_fit(trees = 10, min_n = 2)
diff --git a/R/survival_reg.R b/R/survival_reg.R
index f2999a7a5..fff9b179a 100644
--- a/R/survival_reg.R
+++ b/R/survival_reg.R
@@ -25,7 +25,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("survival_reg")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("survival_reg")
 #'
 #' survival_reg(mode = "censored regression", dist = "weibull")
diff --git a/R/svm_linear.R b/R/svm_linear.R
index 23832f22f..4d3a27fa4 100644
--- a/R/svm_linear.R
+++ b/R/svm_linear.R
@@ -26,7 +26,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("svm_linear")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("svm_linear")
 #'
 #' svm_linear(mode = "classification")
diff --git a/R/svm_poly.R b/R/svm_poly.R
index 876d9260a..c9bdce79f 100644
--- a/R/svm_poly.R
+++ b/R/svm_poly.R
@@ -29,7 +29,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("svm_poly")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("svm_poly")
 #'
 #' svm_poly(mode = "classification", degree = 1.2)
diff --git a/R/svm_rbf.R b/R/svm_rbf.R
index 5a10f2d66..eb6cc7c60 100644
--- a/R/svm_rbf.R
+++ b/R/svm_rbf.R
@@ -31,7 +31,7 @@
 #'
 #' @seealso \Sexpr[stage=render,results=rd]{parsnip:::make_seealso_list("svm_rbf")}
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' show_engines("svm_rbf")
 #'
 #' svm_rbf(mode = "classification", rbf_sigma = 0.2)
diff --git a/R/translate.R b/R/translate.R
index 287b3e5ec..6abe049e0 100644
--- a/R/translate.R
+++ b/R/translate.R
@@ -27,7 +27,7 @@
 #'  to understand what the underlying syntax would be. It should not be used
 #'  to modify the model specification.
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' lm_spec <- linear_reg(penalty = 0.01)
 #'
 #' # `penalty` is tranlsated to `lambda`
@@ -177,7 +177,7 @@ add_methods <- function(x, engine) {
 #' or in a list that can facilitate renaming grid objects?
 #' @return A tibble with columns `user`, `parsnip`, and `engine`, or a list
 #' with named character vectors `user_to_parsnip` and `parsnip_to_engine`.
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' mod <-
 #'  linear_reg(penalty = tune("regularization"), mixture = tune()) %>%
 #'  set_engine("glmnet")
diff --git a/R/update.R b/R/update.R
index 17a161464..7fe402575 100644
--- a/R/update.R
+++ b/R/update.R
@@ -29,7 +29,7 @@
 #'  modified in-place or replaced wholesale.
 #' @return An updated model specification.
 #' @name parsnip_update
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #' model <- boost_tree(mtry = 10, min_n = 3)
 #' model
 #' update(model, mtry = 1)
diff --git a/R/varying.R b/R/varying.R
index 571b91f54..53b7ca724 100644
--- a/R/varying.R
+++ b/R/varying.R
@@ -38,7 +38,7 @@ generics::varying_args
 #' contains _any_ varying value (`varying`), the `id` for the object (`id`),
 #' and the class that was used to call the method (`type`).
 #'
-#' @examples
+#' @examplesIf !parsnip:::is_cran_check()
 #'
 #' # List all possible varying args for the random forest spec
 #' rand_forest() %>% varying_args()
diff --git a/man/C5_rules.Rd b/man/C5_rules.Rd
index 2dbb3b896..83f60ee69 100644
--- a/man/C5_rules.Rd
+++ b/man/C5_rules.Rd
@@ -55,9 +55,11 @@ C5_rules(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("C5_rules")
 
 C5_rules()
+\dontshow{\}) # examplesIf}
 }
 \references{
 Quinlan R (1993). \emph{C4.5: Programs for Machine Learning}. Morgan
diff --git a/man/add_rowindex.Rd b/man/add_rowindex.Rd
index b8599cf2d..cfea6afba 100644
--- a/man/add_rowindex.Rd
+++ b/man/add_rowindex.Rd
@@ -16,5 +16,7 @@ The same data frame with a column of 1-based integers named \code{.row}.
 Add a column of row numbers to a data frame
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 mtcars \%>\% add_rowindex()
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/augment.Rd b/man/augment.Rd
index 53ef834a2..100645abd 100644
--- a/man/augment.Rd
+++ b/man/augment.Rd
@@ -49,6 +49,7 @@ metrics in the \pkg{yardstick} package.
 }
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 car_trn <- mtcars[11:32,]
 car_tst <- mtcars[ 1:10,]
 
@@ -88,7 +89,7 @@ augment(cls_form, cls_tst[, -3])
 
 augment(cls_xy, cls_tst)
 augment(cls_xy, cls_tst[, -3])
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org/learn/statistics/survival-metrics/}
diff --git a/man/bart.Rd b/man/bart.Rd
index 7fbe0af39..ac05e9005 100644
--- a/man/bart.Rd
+++ b/man/bart.Rd
@@ -75,6 +75,7 @@ bart(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("bart")
 
 bart(mode = "regression", trees = 5)
@@ -98,6 +99,7 @@ prior_test(coef = c(0.05, 0.5, .95), expo = c(1/2, 1, 2)) \%>\%
   geom_line() +
   geom_point() +
   facet_wrap(~ expo)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/boost_tree.Rd b/man/boost_tree.Rd
index eda8d2a2c..a81df53ab 100644
--- a/man/boost_tree.Rd
+++ b/man/boost_tree.Rd
@@ -81,9 +81,11 @@ boost_tree(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("boost_tree")
 
 boost_tree(mode = "classification", trees = 20)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/condense_control.Rd b/man/condense_control.Rd
index 865102bb9..326dae09b 100644
--- a/man/condense_control.Rd
+++ b/man/condense_control.Rd
@@ -22,11 +22,13 @@ throughout the tidymodels packages. It is now assumed that each control
 function is either a subset or a superset of another control function.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 ctrl <- control_parsnip(catch = TRUE)
 ctrl$allow_par <- TRUE
 str(ctrl)
 
 ctrl <- condense_control(ctrl, control_parsnip())
 str(ctrl)
+\dontshow{\}) # examplesIf}
 }
 \keyword{internal}
diff --git a/man/control_parsnip.Rd b/man/control_parsnip.Rd
index 435597d2f..a281331c8 100644
--- a/man/control_parsnip.Rd
+++ b/man/control_parsnip.Rd
@@ -27,6 +27,7 @@ Pass options to the \code{\link[=fit.model_spec]{fit.model_spec()}} function to
 output and computations
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 control_parsnip(verbosity = 2L)
-
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/ctree_train.Rd b/man/ctree_train.Rd
index 782ecb58e..dc0cf484b 100644
--- a/man/ctree_train.Rd
+++ b/man/ctree_train.Rd
@@ -74,9 +74,11 @@ These functions are slightly different APIs for \code{\link[partykit:ctree]{part
 arguments (as opposed to being specified in \code{\link[partykit:ctree_control]{partykit::ctree_control()}}).
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 if (rlang::is_installed(c("modeldata", "partykit"))) {
   data(bivariate, package = "modeldata")
   ctree_train(Class ~ ., data = bivariate_train)
   ctree_train(Class ~ ., data = bivariate_train, maxdepth = 1)
 }
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/decision_tree.Rd b/man/decision_tree.Rd
index ee78f24bb..f0ae8fce7 100644
--- a/man/decision_tree.Rd
+++ b/man/decision_tree.Rd
@@ -56,9 +56,11 @@ decision_tree(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("decision_tree")
 
 decision_tree(mode = "classification", tree_depth = 5)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/doc-tools.Rd b/man/doc-tools.Rd
index 0660eb0ca..7257c6a3b 100644
--- a/man/doc-tools.Rd
+++ b/man/doc-tools.Rd
@@ -50,6 +50,7 @@ the References section).
 Most parsnip users will not need to use these functions or documentation.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # See this file for step-by-step instructions.
 system.file("README-DOCS.md", package = "parsnip")
 
@@ -57,6 +58,7 @@ system.file("README-DOCS.md", package = "parsnip")
 make_engine_list("linear_reg")
 
 cat(make_engine_list("linear_reg"))
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://github.com/tidymodels/parsnip/blob/main/inst/README-DOCS.md}
diff --git a/man/dot-model_param_name_key.Rd b/man/dot-model_param_name_key.Rd
index 1395bb9f0..31372ae8e 100644
--- a/man/dot-model_param_name_key.Rd
+++ b/man/dot-model_param_name_key.Rd
@@ -22,6 +22,7 @@ tuning parameter names, the standardized parsnip parameter names, and the
 argument names to the underlying fit function for the engine.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 mod <-
  linear_reg(penalty = tune("regularization"), mixture = tune()) \%>\%
  set_engine("glmnet")
@@ -39,4 +40,5 @@ grid \%>\%
 grid \%>\%
   dplyr::rename(!!!rn$user_to_parsnip) \%>\%
   dplyr::rename(!!!rn$parsnip_to_engine)
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/extract-parsnip.Rd b/man/extract-parsnip.Rd
index a9a8d8b60..f926c7848 100644
--- a/man/extract-parsnip.Rd
+++ b/man/extract-parsnip.Rd
@@ -60,6 +60,7 @@ or silently generating incorrect predictions.
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 lm_spec <- linear_reg() \%>\% set_engine("lm")
 lm_fit <- fit(lm_spec, mpg ~ ., data = mtcars)
 
@@ -68,4 +69,5 @@ extract_spec_parsnip(lm_fit)
 
 extract_fit_engine(lm_fit)
 lm(mpg ~ ., data = mtcars)
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/fit.Rd b/man/fit.Rd
index 8beaa02f0..b4c16f278 100644
--- a/man/fit.Rd
+++ b/man/fit.Rd
@@ -105,6 +105,7 @@ may be used later to compute inverse probability censoring weights for
 performance measures.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # Although `glm()` only has a formula interface, different
 # methods for specifying the model can be used
 
@@ -127,6 +128,7 @@ using_xy <-
 
 using_formula
 using_xy
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 \code{\link[=set_engine]{set_engine()}}, \code{\link[=control_parsnip]{control_parsnip()}}, \code{model_spec}, \code{model_fit}
diff --git a/man/fit_control.Rd b/man/fit_control.Rd
index e2b015c1a..aba2781d9 100644
--- a/man/fit_control.Rd
+++ b/man/fit_control.Rd
@@ -32,7 +32,8 @@ output and computations
 \code{fit_control()} is deprecated in favor of \code{control_parsnip()}.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 fit_control(verbosity = 2L)
-
+\dontshow{\}) # examplesIf}
 }
 \keyword{internal}
diff --git a/man/gen_additive_mod.Rd b/man/gen_additive_mod.Rd
index 9ee1dd704..8829dcb3f 100644
--- a/man/gen_additive_mod.Rd
+++ b/man/gen_additive_mod.Rd
@@ -54,10 +54,11 @@ gen_additive_mod(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("gen_additive_mod")
 
 gen_additive_mod()
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/get_model_env.Rd b/man/get_model_env.Rd
index 0782a5073..3b20d554d 100644
--- a/man/get_model_env.Rd
+++ b/man/get_model_env.Rd
@@ -29,10 +29,11 @@ These functions read and write to the environment where the package stores
 information about model specifications.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # Access the model data:
 current_code <- get_model_env()
 ls(envir = current_code)
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 "How to build a parsnip model"
diff --git a/man/glm_grouped.Rd b/man/glm_grouped.Rd
index f4b33494d..d79f3655d 100644
--- a/man/glm_grouped.Rd
+++ b/man/glm_grouped.Rd
@@ -36,6 +36,7 @@ each factor level so that the outcome can be given to the formula as
 "number of events" format for binomial data.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 #----------------------------------------------------------------------------
 # The same data set formatted three ways
 
@@ -87,4 +88,5 @@ glm(
 
 # The new function that starts with frequency weights and gets the correct place:
 glm_grouped(Admit ~ Gender + Dept, data = ucb_weighted, weights = ucb_weighted$Freq)
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/has_multi_predict.Rd b/man/has_multi_predict.Rd
index e6d613bf6..450d26667 100644
--- a/man/has_multi_predict.Rd
+++ b/man/has_multi_predict.Rd
@@ -44,6 +44,7 @@ returns the names of the arguments to \code{multi_predict()} for this model
 (if any).
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 lm_model_idea <- linear_reg() \%>\% set_engine("lm")
 has_multi_predict(lm_model_idea)
 lm_model_fit <- fit(lm_model_idea, mpg ~ ., data = mtcars)
@@ -61,5 +62,6 @@ knn_fit <-
 multi_predict_args(knn_fit)
 
 multi_predict(knn_fit, mtcars[1, -1], neighbors = 1:4)$.pred
+\dontshow{\}) # examplesIf}
 }
 \keyword{internal}
diff --git a/man/linear_reg.Rd b/man/linear_reg.Rd
index 9b297c71c..e34f45652 100644
--- a/man/linear_reg.Rd
+++ b/man/linear_reg.Rd
@@ -54,9 +54,11 @@ linear_reg(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("linear_reg")
 
 linear_reg()
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/logistic_reg.Rd b/man/logistic_reg.Rd
index f77b5ccaf..b0e464906 100644
--- a/man/logistic_reg.Rd
+++ b/man/logistic_reg.Rd
@@ -67,9 +67,11 @@ This model fits a classification model for binary outcomes; for
 multiclass outcomes, see \code{\link[=multinom_reg]{multinom_reg()}}.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("logistic_reg")
 
 logistic_reg()
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/mars.Rd b/man/mars.Rd
index 051d49709..2b893b066 100644
--- a/man/mars.Rd
+++ b/man/mars.Rd
@@ -56,9 +56,11 @@ mars(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("mars")
 
 mars(mode = "regression", num_terms = 5)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/max_mtry_formula.Rd b/man/max_mtry_formula.Rd
index 52990f57a..6dbe33e76 100644
--- a/man/max_mtry_formula.Rd
+++ b/man/max_mtry_formula.Rd
@@ -24,6 +24,8 @@ This function potentially caps the value of \code{mtry} based on a formula and
 data set. This is a safe approach for survival and/or multivariate models.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # should be 9
 max_mtry_formula(200, cbind(wt, mpg) ~ ., data = mtcars)
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/min_cols.Rd b/man/min_cols.Rd
index c4e6ce53b..a6b7307f3 100644
--- a/man/min_cols.Rd
+++ b/man/min_cols.Rd
@@ -31,6 +31,7 @@ fit.  These functions check the possible range of the data and adjust them
 if needed (with a warning).
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 nearest_neighbor(neighbors= 100) \%>\%
   set_engine("kknn") \%>\%
   set_mode("regression") \%>\%
@@ -41,4 +42,5 @@ rand_forest(mtry = 2, min_n = 100, trees = 3) \%>\%
   set_engine("ranger") \%>\%
   set_mode("regression") \%>\%
   fit(mpg ~ ., data = mtcars)
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/mlp.Rd b/man/mlp.Rd
index c47cf465a..a1d38279b 100644
--- a/man/mlp.Rd
+++ b/man/mlp.Rd
@@ -71,9 +71,11 @@ mlp(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("mlp")
 
 mlp(mode = "classification", penalty = 0.01)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/model_db.Rd b/man/model_db.Rd
index 974f12a8c..ec674b9ea 100644
--- a/man/model_db.Rd
+++ b/man/model_db.Rd
@@ -12,7 +12,9 @@ This is used in the RStudio add-in and captures information about mode
 specifications in various R packages.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 data(model_db)
+\dontshow{\}) # examplesIf}
 }
 \keyword{datasets}
 \keyword{internal}
diff --git a/man/model_fit.Rd b/man/model_fit.Rd
index 83b88820a..46c89fe44 100644
--- a/man/model_fit.Rd
+++ b/man/model_fit.Rd
@@ -35,6 +35,7 @@ This class and structure is the basis for how \pkg{parsnip}
 stores model objects after seeing the data and applying a model.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 # Keep the `x` matrix if the data are not too big.
 spec_obj <-
@@ -46,4 +47,5 @@ fit_obj <- fit(spec_obj, mpg ~ ., data = mtcars)
 fit_obj
 
 nrow(fit_obj$fit$x)
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/multinom_reg.Rd b/man/multinom_reg.Rd
index 6aca4284e..7f6314f26 100644
--- a/man/multinom_reg.Rd
+++ b/man/multinom_reg.Rd
@@ -66,9 +66,11 @@ This model fits a classification model for multiclass outcomes; for
 binary outcomes, see \code{\link[=logistic_reg]{logistic_reg()}}.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("multinom_reg")
 
 multinom_reg()
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/nearest_neighbor.Rd b/man/nearest_neighbor.Rd
index 82d7db48e..9aadaa6b9 100644
--- a/man/nearest_neighbor.Rd
+++ b/man/nearest_neighbor.Rd
@@ -60,10 +60,11 @@ nearest_neighbor(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("nearest_neighbor")
 
 nearest_neighbor(neighbors = 11)
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/null_model.Rd b/man/null_model.Rd
index 916d80ca9..3f9775c02 100644
--- a/man/null_model.Rd
+++ b/man/null_model.Rd
@@ -56,7 +56,9 @@ call. For this type of model, the template of the fit calls are below:
 }
 
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 null_model(mode = "regression")
+\dontshow{\}) # examplesIf}
 }
 \seealso{
 \code{\link[=fit.model_spec]{fit.model_spec()}}
diff --git a/man/nullmodel.Rd b/man/nullmodel.Rd
index 4a5351052..7585422de 100644
--- a/man/nullmodel.Rd
+++ b/man/nullmodel.Rd
@@ -57,6 +57,7 @@ probabilities are requested, the percentage of the training set samples with
 the most prevalent class is returned.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 outcome <- factor(sample(letters[1:2],
                          size = 100,
@@ -65,7 +66,7 @@ outcome <- factor(sample(letters[1:2],
 useless <- nullmodel(y = outcome)
 useless
 predict(useless, matrix(NA, nrow = 5))
-
+\dontshow{\}) # examplesIf}
 }
 \keyword{internal}
 \keyword{models}
diff --git a/man/parsnip_update.Rd b/man/parsnip_update.Rd
index f95e05836..ab3f67a93 100644
--- a/man/parsnip_update.Rd
+++ b/man/parsnip_update.Rd
@@ -471,6 +471,7 @@ If parameters of a model specification need to be modified, \code{update()} can
 be used in lieu of recreating the object from scratch.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 # ------------------------------------------------------------------------------
 
@@ -478,6 +479,8 @@ model <- C5_rules(trees = 10, min_n = 2)
 model
 update(model, trees = 1)
 update(model, trees = 1, fresh = TRUE)
+\dontshow{\}) # examplesIf}
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 # ------------------------------------------------------------------------------
 
@@ -485,16 +488,22 @@ model <- cubist_rules(committees = 10, neighbors = 2)
 model
 update(model, committees = 1)
 update(model, committees = 1, fresh = TRUE)
+\dontshow{\}) # examplesIf}
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 model <- pls(predictor_prop =  0.1)
 model
 update(model, predictor_prop = 1)
 update(model, predictor_prop = 1, fresh = TRUE)
+\dontshow{\}) # examplesIf}
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # ------------------------------------------------------------------------------
 
 model <- rule_fit(trees = 10, min_n = 2)
 model
 update(model, trees = 1)
 update(model, trees = 1, fresh = TRUE)
+\dontshow{\}) # examplesIf}
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 model <- boost_tree(mtry = 10, min_n = 3)
 model
 update(model, mtry = 1)
@@ -513,5 +522,5 @@ model <- linear_reg(penalty = 10, mixture = 0.1)
 model
 update(model, penalty = 1)
 update(model, penalty = 1, fresh = TRUE)
-
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/predict.model_fit.Rd b/man/predict.model_fit.Rd
index 10e3854e5..eaf3364ef 100644
--- a/man/predict.model_fit.Rd
+++ b/man/predict.model_fit.Rd
@@ -138,6 +138,7 @@ produces. Set \code{increasing = FALSE} to suppress this behavior.
 }
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 library(dplyr)
 
 lm_model <-
@@ -165,6 +166,7 @@ predict(
   type = "raw",
   opts = list(type = "terms")
 )
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org/learn/statistics/survival-metrics/}
diff --git a/man/proportional_hazards.Rd b/man/proportional_hazards.Rd
index 0ba951ccc..de1b966ee 100644
--- a/man/proportional_hazards.Rd
+++ b/man/proportional_hazards.Rd
@@ -65,9 +65,11 @@ survival model be specified via the formula interface.
 Proportional hazards models include the Cox model.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("proportional_hazards")
 
 proportional_hazards(mode = "censored regression")
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/rand_forest.Rd b/man/rand_forest.Rd
index d5efd9111..aaae5dddc 100644
--- a/man/rand_forest.Rd
+++ b/man/rand_forest.Rd
@@ -58,9 +58,11 @@ rand_forest(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("rand_forest")
 
 rand_forest(mode = "classification", trees = 2000)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/repair_call.Rd b/man/repair_call.Rd
index 5e1eb41ba..cc0653fda 100644
--- a/man/repair_call.Rd
+++ b/man/repair_call.Rd
@@ -28,6 +28,7 @@ other functions. For example, some arguments may still be quosures and the
 functions and methods.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 fitted_model <-
   linear_reg() \%>\%
@@ -40,4 +41,5 @@ fitted_model$fit$call
 
 # All better:
 repair_call(fitted_model, mtcars)$fit$call
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/required_pkgs.model_spec.Rd b/man/required_pkgs.model_spec.Rd
index 9ab20d6f1..5e490b87e 100644
--- a/man/required_pkgs.model_spec.Rd
+++ b/man/required_pkgs.model_spec.Rd
@@ -23,6 +23,7 @@ A character vector
 Determine required packages for a model
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 should_fail <- try(required_pkgs(linear_reg(engine = NULL)), silent = TRUE)
 should_fail
 
@@ -38,4 +39,5 @@ linear_reg() \%>\%
   set_engine("lm") \%>\%
   fit(mpg ~ ., data = mtcars) \%>\%
   required_pkgs()
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/rule_fit.Rd b/man/rule_fit.Rd
index 229246f5f..6bd0c4aca 100644
--- a/man/rule_fit.Rd
+++ b/man/rule_fit.Rd
@@ -89,10 +89,11 @@ rule_fit(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("rule_fit")
 
 rule_fit()
-
+\dontshow{\}) # examplesIf}
 }
 \references{
 Friedman, J. H., and Popescu, B. E. (2008). "Predictive learning
diff --git a/man/set_args.Rd b/man/set_args.Rd
index 57e59a60c..7e6c678d6 100644
--- a/man/set_args.Rd
+++ b/man/set_args.Rd
@@ -28,10 +28,11 @@ An updated model object.
 \code{set_args()} will replace existing values of the arguments.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 rand_forest()
 
 rand_forest() \%>\%
   set_args(mtry = 3, importance = TRUE) \%>\%
   set_mode("regression")
-
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/set_engine.Rd b/man/set_engine.Rd
index fbc0065f6..327b7ed34 100644
--- a/man/set_engine.Rd
+++ b/man/set_engine.Rd
@@ -54,6 +54,7 @@ argument to be passed directly to the engine fitting function, like
 }
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # First, set main arguments using the standardized names
 logistic_reg(penalty = 0.01, mixture = 1/3) \%>\%
   # Now specify how you want to fit the model with another argument
@@ -65,5 +66,5 @@ decision_tree(tree_depth = 5) \%>\%
   set_engine("rpart", parms = list(prior = c(.65,.35))) \%>\%
   set_mode("classification") \%>\%
   translate()
-
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/set_new_model.Rd b/man/set_new_model.Rd
index f77ccd712..0f0435a06 100644
--- a/man/set_new_model.Rd
+++ b/man/set_new_model.Rd
@@ -145,10 +145,12 @@ accommodate a sparse matrix representation for predictors during fitting
 and tuning.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 # set_new_model("shallow_learning_model")
 
 # Show the information about a model:
 show_model_info("rand_forest")
+\dontshow{\}) # examplesIf}
 }
 \references{
 "How to build a parsnip model"
diff --git a/man/show_engines.Rd b/man/show_engines.Rd
index 36c408c68..cd4ba6c37 100644
--- a/man/show_engines.Rd
+++ b/man/show_engines.Rd
@@ -19,5 +19,7 @@ the \pkg{poissonreg} package adds additional engines for the \code{\link[=poisso
 model and these are not available unless \pkg{poissonreg} is loaded.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("linear_reg")
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/survival_reg.Rd b/man/survival_reg.Rd
index c2f4cee0b..286b5f989 100644
--- a/man/survival_reg.Rd
+++ b/man/survival_reg.Rd
@@ -47,9 +47,11 @@ Since survival models typically involve censoring (and require the use of
 survival model be specified via the formula interface.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("survival_reg")
 
 survival_reg(mode = "censored regression", dist = "weibull")
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/svm_linear.Rd b/man/svm_linear.Rd
index 1f914f8ff..4a0ff97e4 100644
--- a/man/svm_linear.Rd
+++ b/man/svm_linear.Rd
@@ -50,9 +50,11 @@ svm_linear(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("svm_linear")
 
 svm_linear(mode = "classification")
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/svm_poly.Rd b/man/svm_poly.Rd
index 9f49d9aea..071dac91e 100644
--- a/man/svm_poly.Rd
+++ b/man/svm_poly.Rd
@@ -62,9 +62,11 @@ svm_poly(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("svm_poly")
 
 svm_poly(mode = "classification", degree = 1.2)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/svm_rbf.Rd b/man/svm_rbf.Rd
index 6e73ebcec..3be0777b1 100644
--- a/man/svm_rbf.Rd
+++ b/man/svm_rbf.Rd
@@ -60,9 +60,11 @@ svm_rbf(argument = !!value)
 }\if{html}{\out{</div>}}
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 show_engines("svm_rbf")
 
 svm_rbf(mode = "classification", rbf_sigma = 0.2)
+\dontshow{\}) # examplesIf}
 }
 \references{
 \url{https://www.tidymodels.org}, \href{https://www.tmwr.org/}{\emph{Tidy Modeling with R}}, \href{https://www.tidymodels.org/find/parsnip/}{searchable table of parsnip models}
diff --git a/man/tidy.nullmodel.Rd b/man/tidy.nullmodel.Rd
index 6f5b3566a..eb08f7fe6 100644
--- a/man/tidy.nullmodel.Rd
+++ b/man/tidy.nullmodel.Rd
@@ -18,7 +18,9 @@ A tibble with column \code{value}.
 Return the results of \code{nullmodel} as a tibble
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 nullmodel(mtcars[,-1], mtcars$mpg) \%>\% tidy()
+\dontshow{\}) # examplesIf}
 }
 \keyword{internal}
diff --git a/man/translate.Rd b/man/translate.Rd
index af910bb9e..4aa50d4d8 100644
--- a/man/translate.Rd
+++ b/man/translate.Rd
@@ -42,6 +42,7 @@ to understand what the underlying syntax would be. It should not be used
 to modify the model specification.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 lm_spec <- linear_reg(penalty = 0.01)
 
 # `penalty` is tranlsated to `lambda`
@@ -55,5 +56,5 @@ translate(lm_spec, engine = "spark")
 
 # with a placeholder for an unknown argument value:
 translate(linear_reg(penalty = tune(), mixture = tune()), engine = "glmnet")
-
+\dontshow{\}) # examplesIf}
 }
diff --git a/man/varying_args.Rd b/man/varying_args.Rd
index cf2d5ac1e..2e0b997cb 100644
--- a/man/varying_args.Rd
+++ b/man/varying_args.Rd
@@ -38,6 +38,7 @@ or a \code{recipe} is used. For a \code{model_spec}, the first class is used. Fo
 a \code{recipe}, the unique step \code{id} is used.
 }
 \examples{
+\dontshow{if (!parsnip:::is_cran_check()) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 
 # List all possible varying args for the random forest spec
 rand_forest() \%>\% varying_args()
@@ -62,6 +63,6 @@ rand_forest() \%>\%
     sampsize = varying()
   ) \%>\%
   varying_args()
-
+\dontshow{\}) # examplesIf}
 }
 \keyword{internal}