diff --git a/DESCRIPTION b/DESCRIPTION
index b65812ce..ad495e67 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -13,7 +13,8 @@ Authors@R: c(person("Jonah", "Gabry", role = c("aut", "cre"), email = "jgabry@gm
              person("Teemu", "Sailynoja", role = "ctb"),
              person("Aki", "Vehtari", role = "ctb"), 
              person("Behram", "Ulukır", role = "ctb"), 
-             person("Visruth", "Srimath Kandali", role = "ctb"))
+             person("Visruth", "Srimath Kandali", role = "ctb"),
+             person("Mattan S.", "Ben-Shachar", role = "ctb"))
 Maintainer: Jonah Gabry <jgabry@gmail.com>
 Description: Plotting functions for posterior analysis, MCMC diagnostics,
     prior and posterior predictive checks, and other visualizations
diff --git a/NEWS.md b/NEWS.md
index fceb6a8f..9ad2e1dc 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,7 @@
 # bayesplot (development version)
 
+
+* New `show_marginal` argument to `ppd_*()` functions to show the PPD - the marginal predictive distribution by @mattansb (#425)
 * `ppc_ecdf_overlay()`, `ppc_ecdf_overlay_grouped()`, and `ppd_ecdf_overlay()` now always use `geom_step()`. The `discrete` argument is deprecated.
 * Fixed missing `drop = FALSE` in `nuts_params.CmdStanMCMC()`.
 * Replace `apply()` with `storage.mode()` for integer-to-numeric matrix conversion in `validate_predictions()`.
diff --git a/R/helpers-gg.R b/R/helpers-gg.R
index 989db1d7..29a1eee4 100644
--- a/R/helpers-gg.R
+++ b/R/helpers-gg.R
@@ -96,7 +96,7 @@ scale_color_ppc <-
            labels = NULL,
            ...) {
     scale_color_manual(
-      name = name %||% "",
+      name = name,
       values = values %||% get_color(c("dh", "lh")),
       labels = labels %||% c(y_label(), yrep_label()),
       ...
@@ -109,7 +109,7 @@ scale_fill_ppc <-
            labels = NULL,
            ...) {
     scale_fill_manual(
-      name = name %||% "",
+      name = name,
       values = values %||% get_color(c("d", "l")),
       labels = labels %||% c(y_label(), yrep_label()),
       ...
@@ -118,22 +118,77 @@ scale_fill_ppc <-
 
 scale_color_ppd <-
   function(name = NULL,
-           values = get_color("mh"),
-           labels = ypred_label(),
+           values = NULL,
+           labels = NULL,
+           highlight = TRUE,
+           show_marginal = FALSE,
            ...) {
-    scale_color_ppc(name = name,
-                    values = values,
-                    labels = labels,
-                    ...)
+    if (isTRUE(show_marginal)) {
+      if (isTRUE(highlight)) {
+        cl <- c("dh", "lh")
+      } else {
+        cl <- c("d", "l")
+      }
+      default_values <- setNames(get_color(cl), nm = c("PPD", "ypred"))
+    } else {
+      if (isTRUE(highlight)) {
+        default_values <- get_color("mh")
+      } else {
+        default_values <- get_color("m")
+      }
+    }
+
+    scale_color_ppc(
+      name = name,
+      values = values %||% default_values,
+      labels = labels %||% ypred_label(),
+      ...
+    )
   }
 
 scale_fill_ppd <-
   function(name = NULL,
-           values = get_color("m"),
-           labels = ypred_label(),
+           values = NULL,
+           labels = NULL,
+           show_marginal = FALSE,
            ...) {
-    scale_fill_ppc(name = name,
-                   values = values,
-                   labels = labels,
-                   ...)
+    if (isTRUE(show_marginal)) {
+      default_values <- c(PPD = "white", ypred = get_color("l"))
+    } else {
+      default_values <- get_color("m")
+    }
+
+    scale_fill_ppc(
+      name = name,
+      values = values %||% default_values,
+      labels = labels %||% ypred_label(),
+      ...
+    )
+  }
+
+
+scale_linetype_ppd <-
+  function(name = NULL,
+           values = NULL,
+           labels = NULL,
+           ...) {
+    scale_linetype_manual(
+      name = name,
+      values = values %||% c(PPD = "5111", ypred = "solid"),
+      labels = labels %||% ypred_label(),
+      ...
+    )
+  }
+
+scale_shape_ppd <-
+  function(name = NULL,
+           values = NULL,
+           labels = NULL,
+           ...) {
+    scale_shape_manual(
+      name = name,
+      values = values %||% c(ypred = 21, PPD = 23),
+      labels = labels %||% ypred_label(),
+      ...
+    )
   }
diff --git a/R/helpers-ppc.R b/R/helpers-ppc.R
index 618b9fca..01fad36f 100644
--- a/R/helpers-ppc.R
+++ b/R/helpers-ppc.R
@@ -589,4 +589,9 @@ u_scale <- function(x) {
 create_rep_ids <- function(ids) paste('italic(y)[rep] (', ids, ")")
 y_label <- function() expression(italic(y))
 yrep_label <- function() expression(italic(y)[rep])
-ypred_label <- function() expression(italic(y)[pred])
+ypred_label <- function() {
+  c(
+    PPD = "PPD",
+    ypred = expression(italic(y)[pred])
+  )
+}
diff --git a/R/ppd-distributions.R b/R/ppd-distributions.R
index fca2d5ee..03b7e20f 100644
--- a/R/ppd-distributions.R
+++ b/R/ppd-distributions.R
@@ -10,6 +10,7 @@
 #'
 #' @template args-ypred
 #' @inheritParams PPC-distributions
+#' @param show_marginal Plot the marginal PPD along with the `ypred`s.
 #'
 #' @template details-binomial
 #' @template return-ggplot-or-data
@@ -19,6 +20,7 @@
 #' color_scheme_set("brightblue")
 #' preds <- example_yrep_draws()
 #' ppd_dens_overlay(ypred = preds[1:50, ])
+#' ppd_dens_overlay(ypred = preds[1:50, ], show_marginal = TRUE)
 #' ppc_dens_overlay(y = example_y_data(), yrep = preds[1:50, ])
 #'
 NULL
@@ -37,36 +39,32 @@ ppd_data <- function(ypred, group = NULL) {
 #' @rdname PPD-distributions
 #' @export
 ppd_dens_overlay <-
-    function(ypred,
-             ...,
-             size = 0.25,
-             alpha = 0.7,
-             trim = FALSE,
-             bw = "nrd0",
-             adjust = 1,
-             kernel = "gaussian",
-             bounds = NULL,
-             n_dens = 1024) {
-      check_ignored_arguments(...)
-      bounds <- validate_density_bounds(bounds)
+  function(ypred,
+           show_marginal = FALSE,
+           ...,
+           size = 0.25,
+           alpha = 0.7,
+           trim = FALSE,
+           bw = "nrd0",
+           adjust = 1,
+           kernel = "gaussian",
+           bounds = NULL,
+           n_dens = 1024) {
+    check_ignored_arguments(...)
+    bounds <- validate_density_bounds(bounds)
 
-      data <- ppd_data(ypred)
-      ggplot(data, mapping = aes(x = .data$value)) +
-        overlay_ppd_densities(
-        mapping = aes(group = .data$rep_id, color = "ypred"),
+    data <- ppd_data(ypred)
+    p <- ggplot(data, mapping = aes(x = .data$value)) +
+      overlay_ppd_densities(
+        mapping = aes(group = .data$rep_id, color = "ypred", linetype = "ypred"),
         linewidth = size,
         alpha = alpha,
-          trim = trim,
-          bw = bw,
-          adjust = adjust,
-          kernel = kernel,
-          bounds = bounds,
-          n = n_dens
-        ) +
-      scale_color_ppd(
-        values = get_color("m"),
-        guide = guide_legend( # in case user turns legend back on
-          override.aes = list(size = 2 * size, alpha = 1))
+        trim = trim,
+        bw = bw,
+        adjust = adjust,
+        kernel = kernel,
+        bounds = bounds,
+        n = n_dens
       ) +
       bayesplot_theme_get() +
       dont_expand_axes() +
@@ -74,7 +72,32 @@ ppd_dens_overlay <-
       xaxis_title(FALSE) +
       yaxis_text(FALSE) +
       yaxis_ticks(FALSE) +
-      legend_none()
+      scale_linetype_ppd() +
+      scale_color_ppd(
+        highlight = show_marginal,
+        show_marginal = show_marginal,
+        # in case user turns legend back on
+        guide = guide_legend(
+          override.aes = list(linewidth = 2 * size, alpha = 1)
+        )
+      )
+
+    if (isTRUE(show_marginal)) {
+      p +
+        overlay_ppd_densities(
+          mapping = aes(color = "PPD", linetype = "PPD"),
+          linewidth = 1,
+          trim = trim,
+          bw = bw,
+          adjust = adjust,
+          kernel = kernel,
+          bounds = bounds,
+          n = n_dens
+        )
+    } else {
+      p + legend_none()
+    }
+
   }
 
 
@@ -82,6 +105,7 @@ ppd_dens_overlay <-
 #' @export
 ppd_ecdf_overlay <-
   function(ypred,
+           show_marginal= FALSE,
            ...,
            discrete = deprecated(),
            pad = TRUE,
@@ -98,7 +122,7 @@ ppd_ecdf_overlay <-
     }
 
     data <- ppd_data(ypred)
-    ggplot(data, mapping = aes(x = .data$value)) +
+    p <- ggplot(data, mapping = aes(x = .data$value)) +
       hline_at(
         c(0, 0.5, 1),
         linewidth = c(0.2, 0.1, 0.2),
@@ -106,22 +130,37 @@ ppd_ecdf_overlay <-
         color = get_color("dh")
       ) +
       stat_ecdf(
-        mapping = aes(group = .data$rep_id, color = "ypred"),
+        mapping = aes(group = .data$rep_id, color = "ypred", linetype = "ypred"),
         geom = "step",
         linewidth = size,
         alpha = alpha,
         pad = pad
       ) +
-      scale_color_ppd(
-        values = get_color("m"),
-        guide = guide_legend( # in case user turns legend back on
-          override.aes = list(linewidth = 2 * size, alpha = 1))
-      ) +
       scale_y_continuous(breaks = c(0, 0.5, 1)) +
       bayesplot_theme_get() +
       yaxis_title(FALSE) +
       xaxis_title(FALSE) +
-      legend_none()
+      scale_linetype_ppd() +
+      scale_color_ppd(
+        highlight = show_marginal,
+        show_marginal = show_marginal,
+        # in case user turns legend back on
+        guide = guide_legend(
+          override.aes = list(linewidth = 2 * size, alpha = 1)
+        )
+      )
+
+    if (isTRUE(show_marginal)) {
+      p +
+        stat_ecdf(
+          mapping = aes(color = "PPD", linetype = "PPD"),
+          geom = "step",
+          linewidth = 1,
+          pad = pad
+        )
+    } else {
+      p + legend_none()
+    }
   }
 
 
@@ -129,6 +168,7 @@ ppd_ecdf_overlay <-
 #' @export
 ppd_dens <-
     function(ypred,
+             show_marginal = FALSE,
              ...,
              trim = FALSE,
              size = 0.5,
@@ -138,73 +178,105 @@ ppd_dens <-
       bounds <- validate_density_bounds(bounds)
 
       data <- ppd_data(ypred)
-      ggplot(data, mapping = aes(
-        x = .data$value,
-        color = "ypred",
-        fill = "ypred"
-      )) +
+      p <- ggplot(data, mapping = aes(.data$value)) +
         geom_density(
+          aes(color = "ypred",
+              fill = "ypred"),
           linewidth = size,
           alpha = alpha,
           trim = trim,
           bounds = bounds
         ) +
-      scale_color_ppd() +
-      scale_fill_ppd() +
-      bayesplot_theme_get() +
-      facet_wrap_parsed("rep_label") +
-      force_axes_in_facets() +
-      dont_expand_y_axis() +
-      legend_none() +
-      yaxis_text(FALSE) +
-      yaxis_title(FALSE) +
-      yaxis_ticks(FALSE) +
-      xaxis_title(FALSE) +
-      facet_text(FALSE)
-  }
+        bayesplot_theme_get() +
+        facet_wrap_parsed("rep_label") +
+        force_axes_in_facets() +
+        dont_expand_y_axis() +
+        yaxis_text(FALSE) +
+        yaxis_title(FALSE) +
+        yaxis_ticks(FALSE) +
+        xaxis_title(FALSE) +
+        facet_text(FALSE) +
+        scale_color_ppd(show_marginal = show_marginal) +
+        scale_fill_ppd(show_marginal = show_marginal)
+
+      if (isTRUE(show_marginal)) {
+        data2 <- transform(data, rep_label = "PPD")
+
+        p +
+          geom_density(
+            aes(color = "PPD",
+                fill = "PPD"),
+            linewidth = size * 1.5,
+            trim = trim,
+            bounds = bounds,
+            data = data2
+          )
+      } else {
+        p +
+          legend_none()
+      }
+    }
 
 
 #' @rdname PPD-distributions
 #' @export
 ppd_hist <-
   function(ypred,
+           show_marginal = FALSE,
            ...,
            binwidth = NULL,
            bins = NULL,
            breaks = NULL,
-           freq = TRUE) {
+           freq = !show_marginal) {
     check_ignored_arguments(...)
 
     data <- ppd_data(ypred)
-    ggplot(data, mapping = set_hist_aes(
-      freq,
-      color = "ypred",
-      fill = "ypred"
-    )) +
+    p <- ggplot(data, mapping = set_hist_aes(freq)) +
       geom_histogram(
+        aes(color = "ypred",
+            fill = "ypred"),
         linewidth = 0.25,
         binwidth = binwidth,
         bins = bins,
         breaks = breaks
       ) +
-      scale_color_ppd() +
-      scale_fill_ppd() +
       bayesplot_theme_get() +
       facet_wrap_parsed("rep_label") +
       force_axes_in_facets() +
       dont_expand_y_axis() +
-      legend_none() +
       yaxis_text(FALSE) +
       yaxis_title(FALSE) +
       yaxis_ticks(FALSE) +
       xaxis_title(FALSE) +
-      facet_text(FALSE)
+      facet_text(FALSE) +
+      scale_color_ppd(show_marginal = show_marginal) +
+      scale_fill_ppd(show_marginal = show_marginal)
+
+    if (isTRUE(show_marginal)) {
+      data2 <- transform(data, rep_label = "PPD")
+
+      p +
+        geom_histogram(
+          aes(color = "PPD",
+              fill = "PPD"),
+          linewidth = 0.25,
+          binwidth = binwidth,
+          bins = bins,
+          breaks = breaks,
+          data = data2
+        )
+
+    } else {
+      p +
+        legend_none()
+    }
   }
 
 #' @rdname PPD-distributions
 #' @export
 ppd_dots <-
   function(ypred,
+           show_marginal = FALSE,
            ...,
            binwidth = NA,
            quantiles = 100,
@@ -214,28 +286,47 @@ ppd_dots <-
     suggested_package("ggdist")
 
     data <- ppd_data(ypred)
-    ggplot(data, mapping = set_hist_aes(
-      freq,
-      color = "ypred",
-      fill = "ypred"
-    )) +
+
+    p <- ggplot(data, mapping = set_hist_aes(freq)) +
       ggdist::stat_dots(
+        aes(color = "ypred",
+            fill = "ypred",
+            shape = "ypred"),
         binwidth = binwidth,
         quantiles = quantiles,
         ...
       ) +
-      scale_color_ppd() +
-      scale_fill_ppd() +
       bayesplot_theme_get() +
       facet_wrap_parsed("rep_label") +
       force_axes_in_facets() +
       dont_expand_y_axis() +
-      legend_none() +
       yaxis_text(FALSE) +
       yaxis_title(FALSE) +
       yaxis_ticks(FALSE) +
       xaxis_title(FALSE) +
-      facet_text(FALSE)
+      facet_text(FALSE) +
+      scale_shape_ppd() +
+      scale_color_ppd(show_marginal = show_marginal) +
+      scale_fill_ppd(show_marginal = show_marginal)
+
+    if (isTRUE(show_marginal)) {
+      data2 <- transform(data, rep_label = "PPD")
+
+      p +
+        ggdist::stat_dots(
+          aes(color = "PPD",
+              fill = "PPD",
+              shape = "PPD"),
+          data = data2,
+          binwidth = binwidth,
+          quantiles = quantiles,
+          ...
+        )
+
+    } else {
+      p +
+        legend_none()
+    }
   }
 
 
@@ -243,10 +334,11 @@ ppd_dots <-
 #' @export
 ppd_freqpoly <-
   function(ypred,
+           show_marginal = FALSE,
            ...,
            binwidth = NULL,
            bins = NULL,
-           freq = TRUE,
+           freq = !show_marginal,
            size = 0.5,
            alpha = 1) {
 
@@ -257,12 +349,10 @@ ppd_freqpoly <-
     }
 
     data <- ppd_data(ypred, group = dots$group)
-    ggplot(data, mapping = set_hist_aes(
-      freq,
-      color = "ypred",
-      fill = "ypred"
-    )) +
+    p <- ggplot(data, mapping = set_hist_aes(freq)) +
       geom_area(
+        aes(color = "ypred",
+            fill = "ypred"),
         stat = "bin",
         binwidth = binwidth,
         bins = bins,
@@ -270,8 +360,6 @@ ppd_freqpoly <-
         alpha = alpha
       ) +
       facet_wrap_parsed("rep_label") +
-      scale_color_ppd() +
-      scale_fill_ppd() +
       bayesplot_theme_get() +
       force_axes_in_facets() +
       dont_expand_y_axis() +
@@ -280,7 +368,28 @@ ppd_freqpoly <-
       yaxis_ticks(FALSE) +
       xaxis_title(FALSE) +
       facet_text(FALSE) +
-      legend_none()
+      scale_color_ppd(show_marginal = show_marginal) +
+      scale_fill_ppd(show_marginal = show_marginal)
+
+
+    if (isTRUE(show_marginal)) {
+      data2 <- transform(data, rep_label = "PPD")
+
+      p +
+        geom_area(
+          aes(color = "PPD",
+              fill = "PPD"),
+          data = data2,
+          stat = "bin",
+          binwidth = binwidth,
+          bins = bins,
+          linewidth = size * 1.5,
+        )
+
+    } else {
+      p +
+        legend_none()
+    }
   }
 
 
@@ -289,10 +398,11 @@ ppd_freqpoly <-
 ppd_freqpoly_grouped <-
   function(ypred,
            group,
+           show_marginal = FALSE,
            ...,
            binwidth = NULL,
            bins = NULL,
-           freq = TRUE,
+           freq = !show_marginal,
            size = 0.5,
            alpha = 1) {
 
@@ -315,6 +425,7 @@ ppd_freqpoly_grouped <-
 #' @export
 ppd_boxplot <-
   function(ypred,
+           show_marginal = FALSE,
            ...,
            notch = TRUE,
            size = 0.5,
@@ -322,13 +433,13 @@ ppd_boxplot <-
     check_ignored_arguments(...)
 
     data <- ppd_data(ypred)
-    ggplot(data, mapping = aes(
+    p <- ggplot(data, mapping = aes(
       x = .data$rep_label,
-      y = .data$value,
-      color = "ypred",
-      fill = "ypred"
+      y = .data$value
     )) +
       geom_boxplot(
+        aes(color = "ypred",
+            fill = "ypred"),
         notch = notch,
         linewidth = size,
         alpha = alpha,
@@ -336,15 +447,31 @@ ppd_boxplot <-
         outlier.alpha = 2/3,
         outlier.size = 1
       ) +
-      scale_color_ppd() +
-      scale_fill_ppd() +
+      scale_color_ppd(show_marginal = show_marginal) +
+      scale_fill_ppd(show_marginal = show_marginal) +
       scale_x_discrete(labels = function(x) parse(text=x)) +
       bayesplot_theme_get() +
       yaxis_title(FALSE) +
       xaxis_ticks(FALSE) +
       xaxis_text(FALSE) +
-      xaxis_title(FALSE) +
-      legend_none()
+      xaxis_title(FALSE)
+
+    if (isTRUE(show_marginal)) {
+      p +
+        geom_boxplot(
+          aes(x = "PPD",
+              color = "PPD",
+              fill = "PPD"),
+          notch = notch,
+          linewidth = size * 1.5,
+          outlier.color = get_color("dh"),
+          outlier.alpha = 2/3,
+          outlier.size = 1
+        )
+
+    } else {
+      p + legend_none()
+    }
   }
 
 
diff --git a/R/ppd-test-statistics.R b/R/ppd-test-statistics.R
index f1c9d07d..5e1049cb 100644
--- a/R/ppd-test-statistics.R
+++ b/R/ppd-test-statistics.R
@@ -13,6 +13,7 @@
 #'
 #' @template args-ypred
 #' @inheritParams PPC-test-statistics
+#' @inheritParams PPD-distributions
 #'
 #' @template details-binomial
 #' @template return-ggplot-or-data
@@ -22,11 +23,13 @@
 #' yrep <- example_yrep_draws()
 #' ppd_stat(yrep)
 #' ppd_stat(yrep, stat = "sd") + legend_none()
+#' ppd_stat(yrep, show_marginal = TRUE)
 #'
 #' # use your own function for the 'stat' argument
 #' color_scheme_set("brightblue")
 #' q25 <- function(y) quantile(y, 0.25)
 #' ppd_stat(yrep, stat = "q25") # legend includes function name
+#' ppd_stat(yrep, stat = "q25", show_marginal = TRUE)
 NULL
 
 #' @rdname PPD-test-statistics
@@ -34,12 +37,13 @@ NULL
 ppd_stat <-
   function(ypred,
            stat = "mean",
+           show_marginal = FALSE,
            ...,
            discrete = FALSE,
            binwidth = NULL,
            bins = NULL,
            breaks = NULL,
-           freq = TRUE) {
+           freq = !show_marginal) {
     stopifnot(length(stat) == 1)
     dots <- list(...)
     if (!from_grouped(dots)) {
@@ -50,34 +54,73 @@ ppd_stat <-
     data <- ppd_stat_data(
       ypred = ypred,
       group = dots$group,
-      stat = match.fun(stat)
+      stat = match.fun(stat),
+      show_marginal = show_marginal
     )
+    data$type <- ifelse(grepl("ypred", data$variable), "ypred", "PPD")
+
     graph <- ggplot(data, mapping = set_hist_aes(
-      freq,
-      color = "ypred",
-      fill = "ypred"
+      freq || discrete, # this is needed because geom_bar fails otherwise
+      color = .data$type,
+      fill = .data$type
     ))
-    graph <- graph + if (discrete) {
-      geom_bar(
-        color = get_color("lh"),
-        linewidth = 0.25,
-        na.rm = TRUE,
-        position = "identity",
-      )
+
+    if (discrete) {
+      graph <- graph +
+        geom_bar(
+          data = data[data$type != "PPD",],
+          linewidth = 0.25,
+          na.rm = TRUE,
+          position = "identity",
+        )
+    } else {
+      graph <- graph +
+        geom_histogram(
+          data = data[data$type != "PPD",],
+          linewidth = 0.25,
+          na.rm = TRUE,
+          binwidth = binwidth,
+          bins = bins,
+          breaks = breaks
+        )
     }
-    else {
-      geom_histogram(
-        linewidth = 0.25,
-        na.rm = TRUE,
-        binwidth = binwidth,
-        bins = bins,
-        breaks = breaks
-      ) }
-      graph +
-      scale_color_ppd(guide = "none") +
-      scale_fill_ppd(labels = Typred_label(), guide = guide_legend(
-        title = stat_legend_title(stat, deparse(substitute(stat)))
-      )) +
+
+    if (isTRUE(show_marginal)) {
+      graph <- graph +
+        geom_vline(
+          aes(xintercept = .data$value,
+              color = .data$type,
+              linetype = .data$type),
+          data = data[data$type == "PPD",],
+          linewidth = 1.5
+        )
+    }
+
+    stat_title <-  stat_legend_title(stat, deparse(substitute(stat)))
+
+    if (isTRUE(show_marginal)) {
+      graph <- graph +
+        scale_color_ppd(
+          name = stat_title,
+          labels = Typred_label(),
+          guide = guide_legend(override.aes = list(
+            fill = get_color(c("d", "l")))
+          ),
+          show_marginal = show_marginal
+        ) +
+        scale_fill_ppd(guide = "none",
+                       show_marginal = show_marginal) +
+        scale_linetype_ppd(guide = "none")
+    } else {
+      graph <- graph +
+        scale_fill_ppd(name = stat_title,
+                       labels = Typred_label(),
+                       show_marginal = show_marginal) +
+        scale_color_ppd(guide = "none",
+                        show_marginal = show_marginal)
+    }
+
+    graph +
       bayesplot_theme_get() +
       dont_expand_y_axis() +
       xaxis_title(FALSE) +
@@ -93,13 +136,14 @@ ppd_stat_grouped <-
   function(ypred,
            group,
            stat = "mean",
+           show_marginal = FALSE,
            ...,
            discrete = FALSE,
            facet_args = list(),
            binwidth = NULL,
            bins = NULL,
            breaks = NULL,
-           freq = TRUE) {
+           freq = !show_marginal) {
     check_ignored_arguments(...)
     call <- match.call(expand.dots = FALSE)
     g <- eval(ungroup_call("ppd_stat", call), parent.frame())
@@ -114,6 +158,7 @@ ppd_stat_grouped <-
 ppd_stat_freqpoly <-
   function(ypred,
            stat = "mean",
+           show_marginal = FALSE,
            ...,
            facet_args = list(),
            binwidth = NULL,
@@ -129,19 +174,28 @@ ppd_stat_freqpoly <-
     data <- ppd_stat_data(
       ypred = ypred,
       group = dots$group,
-      stat = match.fun(stat)
+      stat = match.fun(stat),
+      show_marginal = show_marginal
     )
-    ggplot(data, mapping = set_hist_aes(freq)) +
+    data$type <- ifelse(grepl("ypred", data$variable), "ypred", "PPD")
+
+    p <- ggplot(data, mapping = set_hist_aes(freq, color = .data$type)) +
       geom_freqpoly(
-        aes(color = "ypred"),
         linewidth = 0.5,
         na.rm = TRUE,
         binwidth = binwidth,
-        bins = bins
+        bins = bins,
+        data = data[data$type != "PPD",]
       ) +
       scale_color_ppd(
         name = stat_legend_title(stat, deparse(substitute(stat))),
-        labels = Typred_label()
+        labels = Typred_label(),
+        show_marginal = show_marginal,
+        values = if (show_marginal) {
+          set_names(get_color(c("m", "dh")), c("ypred", "PPD"))
+        } else {
+          get_color("mh")
+        }
       ) +
       dont_expand_y_axis(expansion(mult = 0.005, add = 0)) +
       bayesplot_theme_get() +
@@ -149,6 +203,19 @@ ppd_stat_freqpoly <-
       yaxis_text(FALSE) +
       yaxis_ticks(FALSE) +
       yaxis_title(FALSE)
+
+    if (isTRUE(show_marginal)) {
+      p <- p +
+        geom_vline(
+          aes(xintercept = .data$value, color = .data$type, linetype = .data$type),
+          data = data[data$type == "PPD",],
+          key_glyph = "path",
+          linewidth = 1
+        ) +
+        scale_linetype_ppd(guide = "none")
+    }
+
+    p
   }
 
 
@@ -158,6 +225,7 @@ ppd_stat_freqpoly_grouped <-
   function(ypred,
            group,
            stat = "mean",
+           show_marginal = FALSE,
            ...,
            facet_args = list(),
            binwidth = NULL,
@@ -177,6 +245,7 @@ ppd_stat_freqpoly_grouped <-
 ppd_stat_2d <-
   function(ypred,
            stat = c("mean", "sd"),
+           show_marginal = FALSE,
            ...,
            size = 2.5,
            alpha = 0.7) {
@@ -196,30 +265,55 @@ ppd_stat_2d <-
     data <- ppd_stat_data(
       ypred = ypred,
       group = NULL,
-      stat = c(match.fun(stat[[1]]), match.fun(stat[[2]]))
+      stat = c(match.fun(stat[[1]]), match.fun(stat[[2]])),
+      show_marginal = show_marginal
     )
-    ggplot(data) +
+    data$type <- ifelse(grepl("ypred", data$variable), "ypred", "PPD")
+
+    graph <- ggplot() +
       geom_point(
         mapping = aes(
           x = .data$value,
           y = .data$value2,
-          fill = "ypred",
-          color = "ypred"
+          fill = .data$type,
+          color = .data$type,
+          shape = .data$type
         ),
-        shape = 21,
+        data = data[data$type == "ypred", ],
         size = size,
         alpha = alpha
       ) +
-      scale_fill_ppd(lgnd_title, labels = Typred_label()) +
-      scale_color_ppd(lgnd_title, labels = Typred_label()) +
+      scale_shape_ppd(lgnd_title, labels = Typred_label()) +
+      scale_fill_ppd(lgnd_title, labels = Typred_label(),
+                     show_marginal = show_marginal) +
+      scale_color_ppd(lgnd_title, labels = Typred_label(),
+                      show_marginal = show_marginal) +
       labs(x = stat_labs[1], y = stat_labs[2]) +
       bayesplot_theme_get()
+
+    if (show_marginal) {
+      graph <- graph +
+        geom_point(
+          mapping = aes(
+            x = .data$value,
+            y = .data$value2,
+            fill = .data$type,
+            color = .data$type,
+            shape = .data$type
+          ),
+          data = data[data$type == "PPD", ],
+          size = size * 1.5,
+          stroke = 0.75
+        )
+    }
+
+    graph
   }
 
 
 #' @rdname PPD-test-statistics
 #' @export
-ppd_stat_data <- function(ypred, group = NULL, stat) {
+ppd_stat_data <- function(ypred, group = NULL, stat, show_marginal = FALSE) {
   if (!(length(stat) %in% 1:2)) {
     abort("'stat' must have length 1 or 2.")
   }
@@ -239,7 +333,8 @@ ppd_stat_data <- function(ypred, group = NULL, stat) {
     predictions = ypred,
     y = NULL,
     group = group,
-    stat = stat
+    stat = stat,
+    show_marginal = show_marginal
   )
 }
 
@@ -263,7 +358,7 @@ ppd_stat_data <- function(ypred, group = NULL, stat) {
 #' ppc_stat_data(y, yrep, group, stat = "median")
 #'
 #' @importFrom dplyr group_by ungroup summarise rename
-.ppd_stat_data <- function(predictions, y = NULL, group = NULL, stat) {
+.ppd_stat_data <- function(predictions, y = NULL, group = NULL, stat, show_marginal = FALSE) {
   stopifnot(length(stat) %in% c(1,2))
   if (length(stat) == 1) {
     stopifnot(is.function(stat)) # sanity check, should already be validated
@@ -292,10 +387,10 @@ ppd_stat_data <- function(ypred, group = NULL, stat) {
   )
   colnames(d) <- gsub(".", "_", colnames(d), fixed = TRUE)
   molten_d <- reshape2::melt(d, id.vars = "group")
-  molten_d <- group_by(molten_d, .data$group, .data$variable)
 
   data <-
     molten_d %>%
+    group_by(.data$group, .data$variable) %>%
     summarise(
       value1 = stat1(.data$value),
       value2 = if (!is.null(stat2))
@@ -304,6 +399,22 @@ ppd_stat_data <- function(ypred, group = NULL, stat) {
     rename(value = "value1") %>%
     ungroup()
 
+  if (isTRUE(show_marginal)) {
+    data_ppd <- molten_d %>%
+      dplyr::filter(.data$variable != "y") %>%
+      group_by(.data$group) %>%
+      summarise(
+        variable = "PPD",
+        value1 = stat1(.data$value),
+        value2 = if (!is.null(stat2))
+          stat2(.data$value) else NA
+      ) %>%
+      rename(value = "value1") %>%
+      ungroup()
+
+    data <- rbind(data, data_ppd)
+  }
+
   if (is.null(stat2)) {
     data$value2 <- NULL
   }
@@ -328,4 +439,7 @@ stat_group_facets <- function(facet_args, scales_default = "free") {
   do.call("facet_wrap", facet_args)
 }
 
-Typred_label <- function() expression(italic(T)(italic(y)[pred]))
+Typred_label <- function() {
+  expression(PPD = italic(T)(PPD),
+             ypred = italic(T)(italic(y)[pred]))
+}
diff --git a/man/PPD-distributions.Rd b/man/PPD-distributions.Rd
index 7517ec25..7351d084 100644
--- a/man/PPD-distributions.Rd
+++ b/man/PPD-distributions.Rd
@@ -17,6 +17,7 @@ ppd_data(ypred, group = NULL)
 
 ppd_dens_overlay(
   ypred,
+  show_marginal = FALSE,
   ...,
   size = 0.25,
   alpha = 0.7,
@@ -30,6 +31,7 @@ ppd_dens_overlay(
 
 ppd_ecdf_overlay(
   ypred,
+  show_marginal = FALSE,
   ...,
   discrete = deprecated(),
   pad = TRUE,
@@ -37,18 +39,42 @@ ppd_ecdf_overlay(
   alpha = 0.7
 )
 
-ppd_dens(ypred, ..., trim = FALSE, size = 0.5, alpha = 1, bounds = NULL)
+ppd_dens(
+  ypred,
+  show_marginal = FALSE,
+  ...,
+  trim = FALSE,
+  size = 0.5,
+  alpha = 1,
+  bounds = NULL
+)
 
-ppd_hist(ypred, ..., binwidth = NULL, bins = NULL, breaks = NULL, freq = TRUE)
+ppd_hist(
+  ypred,
+  show_marginal = FALSE,
+  ...,
+  binwidth = NULL,
+  bins = NULL,
+  breaks = NULL,
+  freq = !show_marginal
+)
 
-ppd_dots(ypred, ..., binwidth = NA, quantiles = 100, freq = TRUE)
+ppd_dots(
+  ypred,
+  show_marginal = FALSE,
+  ...,
+  binwidth = NA,
+  quantiles = 100,
+  freq = TRUE
+)
 
 ppd_freqpoly(
   ypred,
+  show_marginal = FALSE,
   ...,
   binwidth = NULL,
   bins = NULL,
-  freq = TRUE,
+  freq = !show_marginal,
   size = 0.5,
   alpha = 1
 )
@@ -56,15 +82,23 @@ ppd_freqpoly(
 ppd_freqpoly_grouped(
   ypred,
   group,
+  show_marginal = FALSE,
   ...,
   binwidth = NULL,
   bins = NULL,
-  freq = TRUE,
+  freq = !show_marginal,
   size = 0.5,
   alpha = 1
 )
 
-ppd_boxplot(ypred, ..., notch = TRUE, size = 0.5, alpha = 1)
+ppd_boxplot(
+  ypred,
+  show_marginal = FALSE,
+  ...,
+  notch = TRUE,
+  size = 0.5,
+  alpha = 1
+)
 }
 \arguments{
 \item{ypred}{An \code{S} by \code{N} matrix of draws from the posterior (or prior)
@@ -77,6 +111,8 @@ Will be coerced to \link[base:factor]{factor} if not already a factor.
 Each value in \code{group} is interpreted as the group level pertaining
 to the corresponding observation.}
 
+\item{show_marginal}{Plot the marginal PPD along with the \code{ypred}s.}
+
 \item{...}{For dot plots, optional additional arguments to pass to \code{\link[ggdist:stat_dots]{ggdist::stat_dots()}}.}
 
 \item{size, alpha}{Passed to the appropriate geom to control the appearance of
@@ -142,6 +178,7 @@ the input contains the "success" \emph{proportions} (not discrete
 color_scheme_set("brightblue")
 preds <- example_yrep_draws()
 ppd_dens_overlay(ypred = preds[1:50, ])
+ppd_dens_overlay(ypred = preds[1:50, ], show_marginal = TRUE)
 ppc_dens_overlay(y = example_y_data(), yrep = preds[1:50, ])
 
 }
diff --git a/man/PPD-test-statistics.Rd b/man/PPD-test-statistics.Rd
index 7c8b41f3..d699c94d 100644
--- a/man/PPD-test-statistics.Rd
+++ b/man/PPD-test-statistics.Rd
@@ -14,30 +14,33 @@
 ppd_stat(
   ypred,
   stat = "mean",
+  show_marginal = FALSE,
   ...,
   discrete = FALSE,
   binwidth = NULL,
   bins = NULL,
   breaks = NULL,
-  freq = TRUE
+  freq = !show_marginal
 )
 
 ppd_stat_grouped(
   ypred,
   group,
   stat = "mean",
+  show_marginal = FALSE,
   ...,
   discrete = FALSE,
   facet_args = list(),
   binwidth = NULL,
   bins = NULL,
   breaks = NULL,
-  freq = TRUE
+  freq = !show_marginal
 )
 
 ppd_stat_freqpoly(
   ypred,
   stat = "mean",
+  show_marginal = FALSE,
   ...,
   facet_args = list(),
   binwidth = NULL,
@@ -49,6 +52,7 @@ ppd_stat_freqpoly_grouped(
   ypred,
   group,
   stat = "mean",
+  show_marginal = FALSE,
   ...,
   facet_args = list(),
   binwidth = NULL,
@@ -56,9 +60,16 @@ ppd_stat_freqpoly_grouped(
   freq = TRUE
 )
 
-ppd_stat_2d(ypred, stat = c("mean", "sd"), ..., size = 2.5, alpha = 0.7)
+ppd_stat_2d(
+  ypred,
+  stat = c("mean", "sd"),
+  show_marginal = FALSE,
+  ...,
+  size = 2.5,
+  alpha = 0.7
+)
 
-ppd_stat_data(ypred, group = NULL, stat)
+ppd_stat_data(ypred, group = NULL, stat, show_marginal = FALSE)
 }
 \arguments{
 \item{ypred}{An \code{S} by \code{N} matrix of draws from the posterior (or prior)
@@ -73,6 +84,8 @@ statistic. If specified as a string (or strings) then the legend will
 display the function name(s). If specified as a function (or functions)
 then generic naming is used in the legend.}
 
+\item{show_marginal}{Plot the marginal PPD along with the \code{ypred}s.}
+
 \item{...}{Currently unused.}
 
 \item{discrete}{For \code{ppc_stat()} and \code{ppc_stat_grouped()}, if \code{TRUE} then a
@@ -130,11 +143,13 @@ the input contains the "success" \emph{proportions} (not discrete
 yrep <- example_yrep_draws()
 ppd_stat(yrep)
 ppd_stat(yrep, stat = "sd") + legend_none()
+ppd_stat(yrep, show_marginal = TRUE)
 
 # use your own function for the 'stat' argument
 color_scheme_set("brightblue")
 q25 <- function(y) quantile(y, 0.25)
 ppd_stat(yrep, stat = "q25") # legend includes function name
+ppd_stat(yrep, stat = "q25", show_marginal = TRUE)
 }
 \references{
 Gabry, J. , Simpson, D. , Vehtari, A. , Betancourt, M. and
diff --git a/man/bayesplot-package.Rd b/man/bayesplot-package.Rd
index 77583399..9cbece9c 100644
--- a/man/bayesplot-package.Rd
+++ b/man/bayesplot-package.Rd
@@ -133,6 +133,7 @@ Other contributors:
   \item Aki Vehtari [contributor]
   \item Behram Ulukır [contributor]
   \item Visruth Srimath Kandali [contributor]
+  \item Mattan S. Ben-Shachar [contributor]
 }
 
 }
diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default-2.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default-2.svg
index 197d6d8b..0e018848 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default-2.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default-2.svg
@@ -61,13 +61,13 @@
 <text x='401.30' y='568.03' text-anchor='middle' style='font-size: 9.60px; fill: #4D4D4D; font-family: sans;' textLength='10.68px' lengthAdjust='spacingAndGlyphs'>15</text>
 <text x='518.42' y='568.03' text-anchor='middle' style='font-size: 9.60px; fill: #4D4D4D; font-family: sans;' textLength='10.68px' lengthAdjust='spacingAndGlyphs'>20</text>
 <text x='635.54' y='568.03' text-anchor='middle' style='font-size: 9.60px; fill: #4D4D4D; font-family: sans;' textLength='10.68px' lengthAdjust='spacingAndGlyphs'>25</text>
-<line x1='665.83' y1='290.17' x2='679.65' y2='290.17' style='stroke-width: 1.16; stroke: #011F4B; stroke-linecap: butt;' />
-<line x1='665.83' y1='307.45' x2='679.65' y2='307.45' style='stroke-width: 1.16; stroke: #B3CDE0; stroke-linecap: butt;' />
-<text x='687.36' y='292.26' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
-<text x='687.36' y='308.74' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
-<text x='694.89' y='311.15' style='font-size: 9.10px; font-family: sans;' textLength='3.03px' lengthAdjust='spacingAndGlyphs'>r</text>
-<text x='697.92' y='311.15' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>e</text>
-<text x='702.98' y='311.15' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>p</text>
+<line x1='665.83' y1='281.81' x2='679.65' y2='281.81' style='stroke-width: 1.16; stroke: #011F4B; stroke-linecap: butt;' />
+<line x1='665.83' y1='299.09' x2='679.65' y2='299.09' style='stroke-width: 1.16; stroke: #B3CDE0; stroke-linecap: butt;' />
+<text x='687.36' y='283.90' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
+<text x='687.36' y='300.38' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
+<text x='694.89' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='3.03px' lengthAdjust='spacingAndGlyphs'>r</text>
+<text x='697.92' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>e</text>
+<text x='702.98' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>p</text>
 <text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='173.72px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (default 2)</text>
 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default.svg
index 0bd7bfce..64a04fc1 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-default.svg
@@ -61,13 +61,13 @@
 <text x='391.93' y='568.03' text-anchor='middle' style='font-size: 9.60px; fill: #4D4D4D; font-family: sans;' textLength='5.34px' lengthAdjust='spacingAndGlyphs'>3</text>
 <text x='504.92' y='568.03' text-anchor='middle' style='font-size: 9.60px; fill: #4D4D4D; font-family: sans;' textLength='5.34px' lengthAdjust='spacingAndGlyphs'>4</text>
 <text x='617.92' y='568.03' text-anchor='middle' style='font-size: 9.60px; fill: #4D4D4D; font-family: sans;' textLength='5.34px' lengthAdjust='spacingAndGlyphs'>5</text>
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-<line x1='665.83' y1='307.45' x2='679.65' y2='307.45' style='stroke-width: 1.16; stroke: #B3CDE0; stroke-linecap: butt;' />
-<text x='687.36' y='292.26' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
-<text x='687.36' y='308.74' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
-<text x='694.89' y='311.15' style='font-size: 9.10px; font-family: sans;' textLength='3.03px' lengthAdjust='spacingAndGlyphs'>r</text>
-<text x='697.92' y='311.15' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>e</text>
-<text x='702.98' y='311.15' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>p</text>
+<line x1='665.83' y1='281.81' x2='679.65' y2='281.81' style='stroke-width: 1.16; stroke: #011F4B; stroke-linecap: butt;' />
+<line x1='665.83' y1='299.09' x2='679.65' y2='299.09' style='stroke-width: 1.16; stroke: #B3CDE0; stroke-linecap: butt;' />
+<text x='687.36' y='283.90' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
+<text x='687.36' y='300.38' style='font-size: 13.00px; font-style: italic; font-family: sans;' textLength='6.51px' lengthAdjust='spacingAndGlyphs'>y</text>
+<text x='694.89' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='3.03px' lengthAdjust='spacingAndGlyphs'>r</text>
+<text x='697.92' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>e</text>
+<text x='702.98' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>p</text>
 <text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='161.71px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (default)</text>
 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default-2.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default-2.svg
index b479b7db..fa9c4847 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default-2.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default-2.svg
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default.svg
index 9c575ff8..d0261a00 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-default.svg
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-left-truncation-y.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-left-truncation-y.svg
index a8ea0277..50b0c93f 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-left-truncation-y.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-left-truncation-y.svg
@@ -121,13 +121,13 @@
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-max-extrapolation.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-max-extrapolation.svg
index 9631fbba..f6e15354 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-max-extrapolation.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-max-extrapolation.svg
@@ -117,13 +117,13 @@
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-no-extrapolation.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-no-extrapolation.svg
index 7b9e4de6..38298470 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-no-extrapolation.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-no-extrapolation.svg
@@ -117,13 +117,13 @@
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-size-alpha.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-size-alpha.svg
index 47b9fa1a..45e221ea 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-size-alpha.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-size-alpha.svg
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-left-truncation-y.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-left-truncation-y.svg
index 2feec397..062f3332 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-left-truncation-y.svg
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+<text x='702.98' y='302.78' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>p</text>
 <text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='224.15px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (left_truncation_y)</text>
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-max-extrapolation.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-max-extrapolation.svg
index 62e16eeb..e6aa9aba 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-max-extrapolation.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-max-extrapolation.svg
@@ -59,13 +59,13 @@
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 <text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='232.15px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (max extrapolation)</text>
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-no-extrapolation.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-no-extrapolation.svg
index cd7ca333..fa16077e 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-no-extrapolation.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-no-extrapolation.svg
@@ -59,13 +59,13 @@
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 <text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='220.95px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (no extrapolation)</text>
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diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg
index e2b51820..761426e9 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg
@@ -61,13 +61,13 @@
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 <text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='187.32px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (size, alpha)</text>
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diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg b/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg
index eebaca55..59b7bb7c 100644
--- a/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg
+++ b/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg
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diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-default.svg b/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-default.svg
index f315b86b..4be3a5a8 100644
--- a/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-default.svg
+++ b/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-default.svg
@@ -140,8 +140,8 @@
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diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-facet-args-prob-size.svg b/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-facet-args-prob-size.svg
index ada88498..df089587 100644
--- a/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-facet-args-prob-size.svg
+++ b/tests/testthat/_snaps/ppc-discrete/ppc-bars-grouped-facet-args-prob-size.svg
@@ -138,8 +138,8 @@
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diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-bars-prob-0-33-width-size-fatten.svg b/tests/testthat/_snaps/ppc-discrete/ppc-bars-prob-0-33-width-size-fatten.svg
index fd35e987..0da7d859 100644
--- a/tests/testthat/_snaps/ppc-discrete/ppc-bars-prob-0-33-width-size-fatten.svg
+++ b/tests/testthat/_snaps/ppc-discrete/ppc-bars-prob-0-33-width-size-fatten.svg
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diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-bars-width-size-fatten.svg b/tests/testthat/_snaps/ppc-discrete/ppc-bars-width-size-fatten.svg
index c473580a..c0eff814 100644
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 <text x='35.77' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='184.11px' lengthAdjust='spacingAndGlyphs'>ppc_bars (width, size, fatten)</text>
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diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-rootogram-grouped-style-discrete-prob-size.svg b/tests/testthat/_snaps/ppc-discrete/ppc-rootogram-grouped-style-discrete-prob-size.svg
deleted file mode 100644
index b5e5448b..00000000
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index 74655216..bda60c3d 100644
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index 62e017a9..fb0dbce1 100644
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index 9baeaf05..aa820572 100644
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index 94150931..e2630e6c 100644
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diff --git a/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-low-jitter.svg b/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-low-jitter.svg
index 8142349d..4e815ac3 100644
--- a/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-low-jitter.svg
+++ b/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-low-jitter.svg
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diff --git a/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-probs.svg b/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-probs.svg
index 3fb73aea..38a4382c 100644
--- a/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-probs.svg
+++ b/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-points-probs.svg
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diff --git a/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-with-points.svg b/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-with-points.svg
index 880fa046..e60275ee 100644
--- a/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-with-points.svg
+++ b/tests/testthat/_snaps/ppc-distributions/ppc-violin-grouped-with-points.svg
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-default.svg b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-default.svg
index 4ed73687..8ff083cb 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-default.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-default.svg
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-default.svg b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-default.svg
index 50546836..e37ee1a9 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-default.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-default.svg
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-x-values.svg b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-x-values.svg
index f5997757..9c418024 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-grouped-x-values.svg
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-interval-width.svg b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-interval-width.svg
index ffac8c6f..8fcd3900 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-interval-width.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-interval-width.svg
@@ -452,15 +452,15 @@
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-x-values.svg b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-x-values.svg
index 7103c230..b2be547c 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-x-values.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-intervals-x-values.svg
@@ -454,15 +454,15 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-default.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-default.svg
index 269607c0..d432e146 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-default.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-default.svg
@@ -63,14 +63,14 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-default.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-default.svg
index 30a836cd..ca72a5d2 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-default.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-default.svg
@@ -245,14 +245,14 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-x-values.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-x-values.svg
index b16cc03f..cb8bef6f 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-x-values.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-x-values.svg
@@ -237,14 +237,14 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-both.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-both.svg
index c2e7fa0a..3d3912cb 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-both.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-both.svg
@@ -345,15 +345,15 @@
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-line.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-line.svg
index 355ab473..592c3b8e 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-line.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-line.svg
@@ -245,14 +245,14 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-point.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-point.svg
index 96fcbb41..d15dca9f 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-point.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-grouped-y-draw-point.svg
@@ -341,14 +341,14 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-interval-width.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-interval-width.svg
index 9c5d5039..3f6f5797 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-interval-width.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-interval-width.svg
@@ -63,14 +63,14 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-x-values.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-x-values.svg
index 0a483910..954f3c6f 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-x-values.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-x-values.svg
@@ -65,14 +65,14 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-both.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-both.svg
index 0cd270da..2a8ad573 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-both.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-both.svg
@@ -163,15 +163,15 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-line.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-line.svg
index b1e5d829..893648f1 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-line.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-line.svg
@@ -63,14 +63,14 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-point.svg b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-point.svg
index a0f33ee8..92aa7845 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-point.svg
+++ b/tests/testthat/_snaps/ppc-intervals/ppc-ribbon-y-draw-point.svg
@@ -162,14 +162,14 @@
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 </svg>
diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-default.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-default.svg
index 7581eea8..5bf8efc8 100644
--- a/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-default.svg
+++ b/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-default.svg
@@ -446,15 +446,15 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-order.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-order.svg
index 917cab2c..98aaf8cc 100644
--- a/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-order.svg
+++ b/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-order.svg
@@ -436,15 +436,15 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-prob.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-prob.svg
index d847f56f..9aec7108 100644
--- a/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-prob.svg
+++ b/tests/testthat/_snaps/ppc-loo/ppc-loo-intervals-prob.svg
@@ -446,15 +446,15 @@
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 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-boundary.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-boundary.svg
index 3426f2c2..b64b8ca9 100644
--- a/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-boundary.svg
+++ b/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-boundary.svg
@@ -140,10 +140,10 @@
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diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-default.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-default.svg
index 3d5b9718..8dd4329b 100644
--- a/tests/testthat/_snaps/ppc-loo/ppc-loo-pit-overlay-default.svg
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diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-ribbon-default.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-ribbon-default.svg
index 77f778da..0163ebca 100644
--- a/tests/testthat/_snaps/ppc-loo/ppc-loo-ribbon-default.svg
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diff --git a/tests/testthat/_snaps/ppc-loo/ppc-loo-ribbon-prob.svg b/tests/testthat/_snaps/ppc-loo/ppc-loo-ribbon-prob.svg
index dee948d3..3e6845c0 100644
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diff --git a/tests/testthat/_snaps/ppc-test-statistics/ppd-stat-discrete-stat.svg b/tests/testthat/_snaps/ppc-test-statistics/ppd-stat-discrete-stat.svg
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diff --git a/tests/testthat/_snaps/ppd-marginal/ppd-ecdf-overlay-marginal.svg b/tests/testthat/_snaps/ppd-marginal/ppd-ecdf-overlay-marginal.svg
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205.84,504.66 205.84,504.47 206.19,504.47 206.19,504.28 206.36,504.28 206.36,504.08 206.61,504.08 206.61,503.89 207.07,503.89 207.07,503.70 207.33,503.70 207.33,503.50 207.38,503.50 207.38,503.31 207.52,503.31 207.52,503.12 207.62,503.12 207.62,502.92 207.68,502.92 207.68,502.73 207.73,502.73 207.73,502.54 208.98,502.54 208.98,502.34 209.03,502.34 209.03,502.15 209.20,502.15 209.20,501.96 209.67,501.96 209.67,501.77 209.81,501.77 209.81,501.57 209.85,501.57 209.85,501.38 210.24,501.38 210.24,501.19 210.38,501.19 210.38,500.99 211.18,500.99 211.18,500.80 211.47,500.80 211.47,500.61 211.60,500.61 211.60,500.41 211.80,500.41 211.80,500.22 211.86,500.22 211.86,500.03 212.14,500.03 212.14,499.83 212.50,499.83 212.50,499.64 212.78,499.64 212.78,499.45 213.08,499.45 213.08,499.25 213.14,499.25 213.14,499.06 213.21,499.06 213.21,498.87 213.49,498.87 213.49,498.67 213.93,498.67 213.93,498.48 214.02,498.48 214.02,498.29 214.21,498.29 214.21,498.10 214.53,498.10 214.53,497.90 214.54,497.90 214.54,497.71 214.57,497.71 214.57,497.52 214.69,497.52 214.69,497.32 214.77,497.32 214.77,497.13 215.02,497.13 215.02,496.94 215.18,496.94 215.18,496.74 215.20,496.74 215.20,496.55 215.90,496.55 215.90,496.36 216.04,496.36 216.04,496.16 216.11,496.16 216.11,495.97 216.14,495.97 216.14,495.78 216.15,495.78 216.15,495.58 216.30,495.58 216.30,495.39 216.84,495.39 216.84,495.20 216.85,495.20 216.85,495.00 217.27,495.00 217.27,494.81 217.32,494.81 217.32,494.62 217.51,494.62 217.51,494.43 217.72,494.43 217.72,494.23 217.88,494.23 217.88,494.04 218.48,494.04 218.48,493.85 218.54,493.85 218.54,493.65 218.57,493.65 218.57,493.46 218.75,493.46 218.75,493.27 218.77,493.27 218.77,493.07 218.85,493.07 218.85,492.88 219.29,492.88 219.29,492.69 219.30,492.69 219.30,492.49 219.98,492.49 219.98,492.30 220.33,492.30 220.33,492.11 221.05,492.11 221.05,491.91 221.09,491.91 221.09,491.72 221.11,491.72 221.11,491.53 221.21,491.53 221.21,491.33 221.35,491.33 221.35,491.14 221.40,491.14 221.40,490.95 221.41,490.95 221.41,490.76 221.98,490.76 221.98,490.56 222.20,490.56 222.20,490.37 222.72,490.37 222.72,490.18 222.96,490.18 222.96,489.98 223.07,489.98 223.07,489.79 223.23,489.79 223.23,489.60 223.31,489.60 223.31,489.40 223.50,489.40 223.50,489.21 223.53,489.21 223.53,489.02 223.60,489.02 223.60,488.82 224.42,488.82 224.42,488.63 224.67,488.63 224.67,488.44 225.00,488.44 225.00,488.24 225.01,488.24 225.01,488.05 225.09,488.05 225.09,487.86 225.25,487.86 225.25,487.66 225.26,487.66 225.26,487.47 225.35,487.47 225.35,487.28 225.67,487.28 225.67,487.09 225.72,487.09 225.72,486.89 226.44,486.89 226.44,486.70 226.76,486.70 226.76,486.51 226.79,486.51 226.79,486.31 227.09,486.31 227.09,486.12 227.26,486.12 227.26,485.93 227.27,485.93 227.27,485.73 227.31,485.73 227.31,485.54 227.55,485.54 227.55,485.35 227.59,485.35 227.59,485.15 227.75,485.15 227.75,484.96 228.31,484.96 228.31,484.77 228.90,484.77 228.90,484.57 228.95,484.57 228.95,484.38 229.07,484.38 229.07,484.19 229.20,484.19 229.20,483.99 229.27,483.99 229.27,483.80 229.80,483.80 229.80,483.61 229.90,483.61 229.90,483.41 229.94,483.41 229.94,483.22 230.02,483.22 230.02,483.03 230.12,483.03 230.12,482.84 230.23,482.84 230.23,482.64 230.25,482.64 230.25,482.45 230.27,482.45 230.27,482.26 230.47,482.26 230.47,482.06 230.64,482.06 230.64,481.87 230.85,481.87 230.85,481.68 230.92,481.68 230.92,481.48 231.00,481.48 231.00,481.29 231.06,481.29 231.06,481.10 231.28,481.10 231.28,480.90 231.30,480.90 231.30,480.71 231.59,480.71 231.59,480.52 231.70,480.52 231.70,480.32 231.89,480.32 231.89,480.13 231.94,480.13 231.94,479.94 232.05,479.94 232.05,479.74 232.37,479.74 232.37,479.55 232.58,479.55 232.58,479.36 232.62,479.36 232.62,479.17 232.98,479.17 232.98,478.97 233.01,478.97 233.01,478.78 233.09,478.78 233.09,478.59 233.44,478.59 233.44,478.39 234.53,478.39 234.53,478.20 234.57,478.20 234.57,478.01 234.81,478.01 234.81,477.81 234.84,477.81 234.84,477.62 235.24,477.62 235.24,477.43 235.78,477.43 235.78,477.23 235.89,477.23 235.89,477.04 235.90,477.04 235.90,476.85 235.90,476.85 235.90,476.65 235.97,476.65 235.97,476.46 236.01,476.46 236.01,476.27 236.40,476.27 236.40,476.07 236.88,476.07 236.88,475.88 236.97,475.88 236.97,475.69 237.17,475.69 237.17,475.50 238.23,475.50 238.23,475.30 238.25,475.30 238.25,475.11 238.29,475.11 238.29,474.92 238.36,474.92 238.36,474.72 238.47,474.72 238.47,474.53 238.51,474.53 238.51,474.34 238.64,474.34 238.64,474.14 238.73,474.14 238.73,473.95 238.94,473.95 238.94,473.76 239.31,473.76 239.31,473.56 239.33,473.56 239.33,473.37 239.35,473.37 239.35,473.18 239.49,473.18 239.49,472.98 239.56,472.98 239.56,472.79 239.76,472.79 239.76,472.60 239.77,472.60 239.77,472.40 240.11,472.40 240.11,472.21 240.26,472.21 240.26,472.02 240.44,472.02 240.44,471.83 240.50,471.83 240.50,471.63 240.67,471.63 240.67,471.44 240.79,471.44 240.79,471.25 240.83,471.25 240.83,471.05 241.01,471.05 241.01,470.86 241.25,470.86 241.25,470.67 241.33,470.67 241.33,470.47 241.69,470.47 241.69,470.28 241.75,470.28 241.75,470.09 241.99,470.09 241.99,469.89 242.05,469.89 242.05,469.70 242.16,469.70 242.16,469.51 242.23,469.51 242.23,469.31 242.24,469.31 242.24,469.12 242.25,469.12 242.25,468.93 242.40,468.93 242.40,468.73 242.81,468.73 242.81,468.54 242.84,468.54 242.84,468.35 243.16,468.35 243.16,468.16 243.19,468.16 243.19,467.96 243.27,467.96 243.27,467.77 243.34,467.77 243.34,467.58 243.36,467.58 243.36,467.38 243.38,467.38 243.38,467.19 243.39,467.19 243.39,467.00 243.39,467.00 243.39,466.80 243.49,466.80 243.49,466.61 243.60,466.61 243.60,466.42 243.99,466.42 243.99,466.22 244.38,466.22 244.38,466.03 244.79,466.03 244.79,465.84 245.05,465.84 245.05,465.64 245.26,465.64 245.26,465.45 245.57,465.45 245.57,465.26 246.02,465.26 246.02,465.06 246.19,465.06 246.19,464.87 246.19,464.87 246.19,464.68 246.25,464.68 246.25,464.49 246.52,464.49 246.52,464.29 246.69,464.29 246.69,464.10 246.91,464.10 246.91,463.91 246.99,463.91 246.99,463.71 247.08,463.71 247.08,463.52 247.09,463.52 247.09,463.33 247.26,463.33 247.26,463.13 247.45,463.13 247.45,462.94 247.63,462.94 247.63,462.75 247.72,462.75 247.72,462.55 247.73,462.55 247.73,462.36 247.96,462.36 247.96,462.17 248.09,462.17 248.09,461.97 248.17,461.97 248.17,461.78 248.18,461.78 248.18,461.59 248.47,461.59 248.47,461.39 248.64,461.39 248.64,461.20 248.66,461.20 248.66,461.01 248.94,461.01 248.94,460.82 249.10,460.82 249.10,460.62 249.14,460.62 249.14,460.43 249.35,460.43 249.35,460.24 249.37,460.24 249.37,460.04 249.45,460.04 249.45,459.85 249.69,459.85 249.69,459.66 249.69,459.66 249.69,459.46 249.69,459.46 249.69,459.27 249.74,459.27 249.74,459.08 249.79,459.08 249.79,458.88 249.98,458.88 249.98,458.69 250.20,458.69 250.20,458.50 250.29,458.50 250.29,458.30 250.39,458.30 250.39,458.11 250.59,458.11 250.59,457.92 250.69,457.92 250.69,457.72 250.77,457.72 250.77,457.53 250.86,457.53 250.86,457.34 251.17,457.34 251.17,457.15 251.24,457.15 251.24,456.95 251.62,456.95 251.62,456.76 251.77,456.76 251.77,456.57 251.99,456.57 251.99,456.37 252.22,456.37 252.22,456.18 252.29,456.18 252.29,455.99 252.30,455.99 252.30,455.79 252.34,455.79 252.34,455.60 252.47,455.60 252.47,455.41 252.49,455.41 252.49,455.21 252.58,455.21 252.58,455.02 252.65,455.02 252.65,454.83 252.70,454.83 252.70,454.63 252.70,454.63 252.70,454.44 252.75,454.44 252.75,454.25 252.83,454.25 252.83,454.05 252.88,454.05 252.88,453.86 253.01,453.86 253.01,453.67 253.12,453.67 253.12,453.48 253.19,453.48 253.19,453.28 253.30,453.28 253.30,453.09 253.65,453.09 253.65,452.90 253.69,452.90 253.69,452.70 253.70,452.70 253.70,452.51 253.75,452.51 253.75,452.32 253.78,452.32 253.78,452.12 253.93,452.12 253.93,451.93 254.02,451.93 254.02,451.74 254.05,451.74 254.05,451.54 254.33,451.54 254.33,451.35 254.73,451.35 254.73,451.16 254.85,451.16 254.85,450.96 254.94,450.96 254.94,450.77 255.01,450.77 255.01,450.58 255.02,450.58 255.02,450.38 255.55,450.38 255.55,450.19 255.77,450.19 255.77,450.00 255.92,450.00 255.92,449.81 255.97,449.81 255.97,449.61 255.99,449.61 255.99,449.42 256.07,449.42 256.07,449.23 256.10,449.23 256.10,449.03 256.33,449.03 256.33,448.84 256.39,448.84 256.39,448.65 256.54,448.65 256.54,448.45 256.94,448.45 256.94,448.26 257.04,448.26 257.04,448.07 257.36,448.07 257.36,447.87 257.41,447.87 257.41,447.68 257.69,447.68 257.69,447.49 257.77,447.49 257.77,447.29 257.78,447.29 257.78,447.10 257.80,447.10 257.80,446.91 257.90,446.91 257.90,446.71 257.90,446.71 257.90,446.52 257.96,446.52 257.96,446.33 258.04,446.33 258.04,446.14 258.28,446.14 258.28,445.94 258.90,445.94 258.90,445.75 258.91,445.75 258.91,445.56 259.49,445.56 259.49,445.36 259.57,445.36 259.57,445.17 259.57,445.17 259.57,444.98 259.74,444.98 259.74,444.78 259.81,444.78 259.81,444.59 259.81,444.59 259.81,444.40 259.92,444.40 259.92,444.20 260.00,444.20 260.00,444.01 260.00,444.01 260.00,443.82 260.08,443.82 260.08,443.62 260.12,443.62 260.12,443.43 260.22,443.43 260.22,443.24 260.42,443.24 260.42,443.04 260.47,443.04 260.47,442.85 260.57,442.85 260.57,442.66 260.58,442.66 260.58,442.47 260.60,442.47 260.60,442.27 260.62,442.27 260.62,442.08 260.68,442.08 260.68,441.89 260.69,441.89 260.69,441.69 260.69,441.69 260.69,441.50 260.77,441.50 260.77,441.31 260.85,441.31 260.85,441.11 260.85,441.11 260.85,440.92 261.15,440.92 261.15,440.73 261.29,440.73 261.29,440.53 261.52,440.53 261.52,440.34 261.57,440.34 261.57,440.15 261.59,440.15 261.59,439.95 261.87,439.95 261.87,439.76 261.89,439.76 261.89,439.57 261.94,439.57 261.94,439.37 261.95,439.37 261.95,439.18 262.17,439.18 262.17,438.99 262.22,438.99 262.22,438.80 262.24,438.80 262.24,438.60 262.41,438.60 262.41,438.41 262.44,438.41 262.44,438.22 262.47,438.22 262.47,438.02 262.48,438.02 262.48,437.83 262.54,437.83 262.54,437.64 262.58,437.64 262.58,437.44 262.80,437.44 262.80,437.25 262.86,437.25 262.86,437.06 262.96,437.06 262.96,436.86 262.96,436.86 262.96,436.67 262.97,436.67 262.97,436.48 263.24,436.48 263.24,436.28 263.24,436.28 263.24,436.09 263.29,436.09 263.29,435.90 263.76,435.90 263.76,435.70 263.91,435.70 263.91,435.51 264.01,435.51 264.01,435.32 264.27,435.32 264.27,435.13 264.37,435.13 264.37,434.93 264.44,434.93 264.44,434.74 264.44,434.74 264.44,434.55 264.63,434.55 264.63,434.35 264.72,434.35 264.72,434.16 264.73,434.16 264.73,433.97 264.82,433.97 264.82,433.77 264.83,433.77 264.83,433.58 264.91,433.58 264.91,433.39 265.33,433.39 265.33,433.19 265.43,433.19 265.43,433.00 265.60,433.00 265.60,432.81 265.65,432.81 265.65,432.61 265.69,432.61 265.69,432.42 265.69,432.42 265.69,432.23 265.81,432.23 265.81,432.03 265.82,432.03 265.82,431.84 265.93,431.84 265.93,431.65 266.17,431.65 266.17,431.46 266.23,431.46 266.23,431.26 266.33,431.26 266.33,431.07 266.45,431.07 266.45,430.88 266.50,430.88 266.50,430.68 266.73,430.68 266.73,430.49 266.86,430.49 266.86,430.30 267.42,430.30 267.42,430.10 267.65,430.10 267.65,429.91 267.88,429.91 267.88,429.72 267.96,429.72 267.96,429.52 267.97,429.52 267.97,429.33 268.05,429.33 268.05,429.14 268.26,429.14 268.26,428.94 268.30,428.94 268.30,428.75 268.60,428.75 268.60,428.56 268.67,428.56 268.67,428.36 268.69,428.36 268.69,428.17 268.93,428.17 268.93,427.98 269.00,427.98 269.00,427.79 269.02,427.79 269.02,427.59 269.10,427.59 269.10,427.40 269.11,427.40 269.11,427.21 269.19,427.21 269.19,427.01 269.41,427.01 269.41,426.82 269.44,426.82 269.44,426.63 269.45,426.63 269.45,426.43 269.66,426.43 269.66,426.24 269.67,426.24 269.67,426.05 269.67,426.05 269.67,425.85 269.75,425.85 269.75,425.66 269.77,425.66 269.77,425.47 269.87,425.47 269.87,425.27 270.16,425.27 270.16,425.08 270.19,425.08 270.19,424.89 270.25,424.89 270.25,424.69 270.51,424.69 270.51,424.50 270.65,424.50 270.65,424.31 270.79,424.31 270.79,424.12 270.96,424.12 270.96,423.92 270.99,423.92 270.99,423.73 271.07,423.73 271.07,423.54 271.24,423.54 271.24,423.34 271.37,423.34 271.37,423.15 271.39,423.15 271.39,422.96 271.57,422.96 271.57,422.76 271.76,422.76 271.76,422.57 271.93,422.57 271.93,422.38 271.96,422.38 271.96,422.18 272.05,422.18 272.05,421.99 272.08,421.99 272.08,421.80 272.10,421.80 272.10,421.60 272.17,421.60 272.17,421.41 272.24,421.41 272.24,421.22 272.32,421.22 272.32,421.02 272.36,421.02 272.36,420.83 272.43,420.83 272.43,420.64 272.53,420.64 272.53,420.45 272.72,420.45 272.72,420.25 272.89,420.25 272.89,420.06 272.95,420.06 272.95,419.87 273.08,419.87 273.08,419.67 273.19,419.67 273.19,419.48 273.22,419.48 273.22,419.29 273.24,419.29 273.24,419.09 273.28,419.09 273.28,418.90 273.37,418.90 273.37,418.71 273.43,418.71 273.43,418.51 273.45,418.51 273.45,418.32 273.48,418.32 273.48,418.13 273.64,418.13 273.64,417.93 273.81,417.93 273.81,417.74 273.85,417.74 273.85,417.55 273.98,417.55 273.98,417.35 274.06,417.35 274.06,417.16 274.36,417.16 274.36,416.97 274.48,416.97 274.48,416.78 274.55,416.78 274.55,416.58 274.73,416.58 274.73,416.39 274.75,416.39 274.75,416.20 274.80,416.20 274.80,416.00 274.99,416.00 274.99,415.81 275.30,415.81 275.30,415.62 275.39,415.62 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381.66,175.52 381.66,175.33 381.67,175.33 381.67,175.13 381.68,175.13 381.68,174.94 381.69,174.94 381.69,174.75 381.73,174.75 381.73,174.55 381.99,174.55 381.99,174.36 382.08,174.36 382.08,174.17 382.16,174.17 382.16,173.97 382.19,173.97 382.19,173.78 382.23,173.78 382.23,173.59 382.34,173.59 382.34,173.39 382.48,173.39 382.48,173.20 382.64,173.20 382.64,173.01 382.68,173.01 382.68,172.81 382.74,172.81 382.74,172.62 382.77,172.62 382.77,172.43 382.85,172.43 382.85,172.24 383.13,172.24 383.13,172.04 383.21,172.04 383.21,171.85 383.37,171.85 383.37,171.66 383.49,171.66 383.49,171.46 383.54,171.46 383.54,171.27 383.59,171.27 383.59,171.08 383.64,171.08 383.64,170.88 383.87,170.88 383.87,170.69 384.01,170.69 384.01,170.50 384.30,170.50 384.30,170.30 384.31,170.30 384.31,170.11 384.37,170.11 384.37,169.92 384.55,169.92 384.55,169.72 384.56,169.72 384.56,169.53 384.65,169.53 384.65,169.34 384.80,169.34 384.80,169.14 384.83,169.14 384.83,168.95 385.26,168.95 385.26,168.76 385.30,168.76 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399.47,141.14 399.57,141.14 399.57,140.94 399.74,140.94 399.74,140.75 400.12,140.75 400.12,140.56 400.13,140.56 400.13,140.36 400.31,140.36 400.31,140.17 400.39,140.17 400.39,139.98 400.50,139.98 400.50,139.78 400.70,139.78 400.70,139.59 400.88,139.59 400.88,139.40 400.97,139.40 400.97,139.21 401.00,139.21 401.00,139.01 401.01,139.01 401.01,138.82 401.31,138.82 401.31,138.63 401.35,138.63 401.35,138.43 401.54,138.43 401.54,138.24 401.68,138.24 401.68,138.05 401.91,138.05 401.91,137.85 402.08,137.85 402.08,137.66 402.40,137.66 402.40,137.47 402.63,137.47 402.63,137.27 402.75,137.27 402.75,137.08 402.85,137.08 402.85,136.89 402.91,136.89 402.91,136.69 403.10,136.69 403.10,136.50 403.18,136.50 403.18,136.31 403.21,136.31 403.21,136.11 403.26,136.11 403.26,135.92 403.32,135.92 403.32,135.73 403.57,135.73 403.57,135.53 403.70,135.53 403.70,135.34 403.93,135.34 403.93,135.15 403.95,135.15 403.95,134.96 403.96,134.96 403.96,134.76 403.96,134.76 403.96,134.57 403.99,134.57 403.99,134.38 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diff --git a/tests/testthat/test-ppd-marginal.R b/tests/testthat/test-ppd-marginal.R
new file mode 100644
index 00000000..6fbb3676
--- /dev/null
+++ b/tests/testthat/test-ppd-marginal.R
@@ -0,0 +1,91 @@
+source(test_path("data-for-ppc-tests.R"))
+
+prop0 <- function(x) mean(x == 0)
+
+# ppd-test-statistics with show_marginal -----------------------------------
+
+test_that("ppd_stat_data returns PPD data", {
+  d <- ppd_stat_data(yrep, group, stat = var, show_marginal = FALSE)
+  expect_false("PPD" %in% d$variable)
+
+  d <- ppd_stat_data(yrep, group, stat = var, show_marginal = TRUE)
+  expect_true("PPD" %in% d$variable)
+
+  d_no <- ppd_stat_data(yrep, group, stat = var, show_marginal = FALSE)
+  expect_false("PPD" %in% d_no$variable)
+})
+
+
+# Visual tests -------------------------------------------------------------
+
+test_that("ppd-dist with show_marginal render correctly", {
+  testthat::skip_on_cran()
+  testthat::skip_if_not_installed("vdiffr")
+  skip_on_r_oldrel()
+
+  p <- ppd_dens_overlay(vdiff_yrep, show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_dens_overlay (marginal)", p)
+
+  p <- ppd_ecdf_overlay(vdiff_yrep, show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_ecdf_overlay (marginal)", p)
+
+  p <- ppd_dens(vdiff_yrep[1:8, ], show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_dens (marginal)", p)
+
+  p <- ppd_hist(vdiff_yrep[1:8, ], show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_hist (marginal)", p)
+
+  p <- ppd_freqpoly(vdiff_yrep[1:8, ], show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_freqpoly (marginal)", p)
+
+  p <- ppd_freqpoly_grouped(
+    vdiff_yrep[1:3, ],
+    vdiff_group,
+    show_marginal = TRUE
+  )
+  vdiffr::expect_doppelganger("ppd_freqpoly_grouped (marginal)", p)
+
+  p <- ppd_boxplot(vdiff_yrep[1:8, ], show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_boxplot (marginal)", p)
+
+  testthat::skip_if_not_installed("ggdist")
+  p <- ppd_dots(vdiff_yrep[1:8, ], show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_dots (marginal)", p)
+})
+
+test_that("ppd-stat with show_marginal render correctly", {
+  testthat::skip_on_cran()
+  testthat::skip_if_not_installed("vdiffr")
+  skip_on_r_oldrel()
+
+  p <- ppd_stat(vdiff_yrep, show_marginal = TRUE, binwidth = 0.05)
+  vdiffr::expect_doppelganger("ppd_stat (marginal)", p)
+
+  set.seed(42)
+  ypred_bin <- matrix(rbinom(100 * 20, 1, 0.2), nrow = 100)
+  p <- ppd_stat(ypred_bin, stat = prop0, discrete = TRUE, show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_stat (marginal, discrete)", p)
+  set.seed(seed = NULL)
+
+  p <- ppd_stat_grouped(
+    vdiff_yrep,
+    vdiff_group,
+    show_marginal = TRUE,
+    binwidth = 0.05
+  )
+  vdiffr::expect_doppelganger("ppd_stat_grouped (marginal)", p)
+
+  p <- ppd_stat_freqpoly(vdiff_yrep, show_marginal = TRUE, binwidth = 0.05)
+  vdiffr::expect_doppelganger("ppd_stat_freqpoly (marginal)", p)
+
+  p <- ppd_stat_freqpoly_grouped(
+    vdiff_yrep,
+    vdiff_group,
+    show_marginal = TRUE,
+    binwidth = 0.05
+  )
+  vdiffr::expect_doppelganger("ppd_stat_freqpoly_grouped (marginal)", p)
+
+  p <- ppd_stat_2d(vdiff_yrep, show_marginal = TRUE)
+  vdiffr::expect_doppelganger("ppd_stat_2d (marginal)", p)
+})