diff --git a/NEWS.md b/NEWS.md
index cf6771aa..08d54f94 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,7 @@
 # bayesplot (development version)
 
+* Deprecate user-facing `size` arguments that controlled line width in favor of `linewidth` across all plotting functions.
+* Deprecate the `fatten` argument in `ppc_intervals()`, `ppd_intervals()`, `ppc_loo_intervals()`, `ppc_bars()`, and their grouped variants. Point size in `geom_pointrange()` is now controlled directly by `size`.
 * Added test verifying `legend_move("none")` behaves equivalently to `legend_none()`.
 * Added singleton-dimension edge-case tests for exported `_data()` functions.
 * Validate empty list and zero-row matrix inputs in `nuts_params.list()`.
diff --git a/R/bayesplot-package.R b/R/bayesplot-package.R
index db740a9a..eb26da38 100644
--- a/R/bayesplot-package.R
+++ b/R/bayesplot-package.R
@@ -4,8 +4,8 @@
 #' @aliases bayesplot
 #'
 #' @import ggplot2 stats rlang
-#' @importFrom dplyr %>% summarise group_by select
 #' @importFrom lifecycle deprecated deprecate_warn is_present
+#' @importFrom dplyr %>% summarise group_by select
 #'
 #' @description
 #' \if{html}{
diff --git a/R/helpers-shared.R b/R/helpers-shared.R
index 34890feb..e3e4f1fe 100644
--- a/R/helpers-shared.R
+++ b/R/helpers-shared.R
@@ -45,6 +45,59 @@ check_ignored_arguments <- function(..., ok_args = character()) {
   }
 }
 
+#' Handle size -> linewidth deprecation
+#'
+#' @param size User's `size` argument (deprecated for lines).
+#' @param linewidth User's `linewidth` argument (replacement).
+#' @param default_linewidth Default linewidth value if neither is specified.
+#' @param calling_fn Name of the calling function for the deprecation message.
+#' @return The resolved linewidth value.
+#' @noRd
+resolve_linewidth <- function(size, linewidth, default_linewidth, calling_fn = NULL) {
+  fn_name <- calling_fn %||% "fn"
+  if (!is.null(size) && !is.null(linewidth)) {
+    abort(paste0(
+      "Both `size` and `linewidth` were supplied to `", fn_name, "()`. ",
+      "Please use only `linewidth`."
+    ))
+  }
+  if (!is.null(size)) {
+    lifecycle::deprecate_warn(
+      when = "1.16.0",
+      what = paste0(fn_name, "(size)"),
+      with = paste0(fn_name, "(linewidth)")
+    )
+    return(size)
+  }
+  linewidth %||% default_linewidth
+}
+
+
+#' Handle fatten deprecation
+#'
+#' @param fatten User's `fatten` argument (deprecated).
+#' @param size User's `size` argument.
+#' @param default_size Default size when neither `fatten` nor `size` is given.
+#' @param calling_fn Name of the calling function for the deprecation message.
+#' @return The resolved point `size` value.
+#' @noRd
+resolve_fatten <- function(fatten, size, default_size, calling_fn = NULL) {
+  if (!lifecycle::is_present(fatten)) {
+    return(size %||% default_size)
+  }
+
+  lifecycle::deprecate_warn(
+    when = "1.16.0",
+    what = paste0(calling_fn %||% "fn", "(fatten)"),
+    details = paste0(
+      "The point size is now controlled directly by `size`. ",
+      "The `fatten` argument will be removed in a future release."
+    )
+  )
+  size %||% default_size
+}
+
+
 #' Validate bounds passed to stat_density/geom_density wrappers
 #' @noRd
 validate_density_bounds <- function(bounds) {
diff --git a/R/mcmc-diagnostics.R b/R/mcmc-diagnostics.R
index 87e716da..392ab15c 100644
--- a/R/mcmc-diagnostics.R
+++ b/R/mcmc-diagnostics.R
@@ -10,8 +10,9 @@
 #'
 #' @template args-hist
 #' @param size Optional values to override [ggplot2::geom_point()]'s
-#'   default size (for `mcmc_rhat()`, `mcmc_neff()`) or
-#'   [ggplot2::geom_line()]'s default line width (for `mcmc_acf()`).
+#'   default size (for `mcmc_rhat()`, `mcmc_neff()`).
+#' @param linewidth Optional value to override [ggplot2::geom_line()]'s
+#'   default line width (for `mcmc_acf()`).
 #' @param ... Currently ignored.
 #'
 #' @template return-ggplot-or-data
@@ -322,15 +323,17 @@ mcmc_acf <-
            ...,
            facet_args = list(),
            lags = 20,
-           size = NULL) {
+           size = NULL,
+           linewidth = NULL) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = NULL, calling_fn = "mcmc_acf")
     .mcmc_acf(
       x,
       pars = pars,
       regex_pars = regex_pars,
       facet_args = facet_args,
       lags = lags,
-      size = size,
+      linewidth = linewidth,
       style = "line"
     )
   }
@@ -514,7 +517,7 @@ drop_NAs_and_warn <- function(x) {
 }
 
 # Autocorrelation plot (either bar or line)
-# @param size passed to geom_line() if style="line"
+# @param linewidth passed to geom_line() if style="line"
 .mcmc_acf <-
   function(x,
            pars = character(),
@@ -522,7 +525,7 @@ drop_NAs_and_warn <- function(x) {
            facet_args = list(),
            lags = 25,
            style = c("bar", "line"),
-           size = NULL) {
+           linewidth = NULL) {
 
     style <- match.arg(style)
     x <- prepare_mcmc_array(x, pars, regex_pars)
@@ -559,7 +562,7 @@ drop_NAs_and_warn <- function(x) {
         ) +
         do.call(
           "geom_line",
-          args = c(list(color = get_color("d")), linewidth = size)
+          args = c(list(color = get_color("d")), linewidth = linewidth)
         )
     }
 
diff --git a/R/mcmc-parcoord.R b/R/mcmc-parcoord.R
index a0cc54ca..8c1bb7cd 100644
--- a/R/mcmc-parcoord.R
+++ b/R/mcmc-parcoord.R
@@ -13,7 +13,7 @@
 #' @template args-regex_pars
 #' @template args-transformations
 #' @param ... Currently ignored.
-#' @param size,alpha Arguments passed on to [ggplot2::geom_line()].
+#' @param size,alpha,linewidth Arguments passed on to [ggplot2::geom_line()].
 #' @param np For models fit using [NUTS] (more generally,
 #'   any [symplectic integrator](https://en.wikipedia.org/wiki/Symplectic_integrator)),
 #'   an optional data frame providing NUTS diagnostic information. The data
@@ -114,11 +114,13 @@ mcmc_parcoord <-
            regex_pars = character(),
            transformations = list(),
            ...,
-           size = 0.2,
+           size = NULL,
+           linewidth = 0.2,
            alpha = 0.3,
            np = NULL,
            np_style = parcoord_style_np()) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.2, calling_fn = "mcmc_parcoord")
     stopifnot(inherits(np_style, "nuts_style"))
 
     data <-
@@ -142,7 +144,7 @@ mcmc_parcoord <-
       group = factor(.data$Draw)
     )) +
       geom_line(
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         color = get_color("dh")
       ) +
diff --git a/R/ppc-censoring.R b/R/ppc-censoring.R
index bcca33d6..d07b30f4 100644
--- a/R/ppc-censoring.R
+++ b/R/ppc-censoring.R
@@ -15,8 +15,8 @@
 #' @family PPCs
 #'
 #' @template args-y-yrep
-#' @param size,alpha Passed to the appropriate geom to control the appearance of
-#'   the `yrep` distributions.
+#' @param size,alpha,linewidth Passed to the appropriate geom to control the
+#'   appearance of the `yrep` distributions.
 #' @param ... Currently only used internally.
 #'
 #' @template return-ggplot
@@ -103,10 +103,12 @@ ppc_km_overlay <- function(
   status_y,
   left_truncation_y = NULL,
   extrapolation_factor = 1.2,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 ) {
   check_ignored_arguments(..., ok_args = "add_group")
+  linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25, calling_fn = "ppc_km_overlay")
   add_group <- list(...)$add_group
 
   suggested_package("survival")
@@ -172,7 +174,7 @@ ppc_km_overlay <- function(
   }
 
   fsf$is_y_color <- as.factor(sub("\\[rep\\] \\(.*$", "rep", sub("^italic\\(y\\)", "y", fsf$strata)))
-  fsf$is_y_linewidth <- ifelse(fsf$is_y_color == "yrep", size, 1)
+  fsf$is_y_linewidth <- ifelse(fsf$is_y_color == "yrep", linewidth, 1)
   fsf$is_y_alpha <- ifelse(fsf$is_y_color == "yrep", alpha, 1)
 
   max_time_y <- max(y, na.rm = TRUE)
@@ -225,7 +227,8 @@ ppc_km_overlay_grouped <- function(
   status_y,
   left_truncation_y = NULL,
   extrapolation_factor = 1.2,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 ) {
   check_ignored_arguments(...)
@@ -238,6 +241,7 @@ ppc_km_overlay_grouped <- function(
     status_y = status_y,
     left_truncation_y = left_truncation_y,
     size = size,
+    linewidth = linewidth,
     alpha = alpha,
     extrapolation_factor = extrapolation_factor
   )
diff --git a/R/ppc-discrete.R b/R/ppc-discrete.R
index 2fc117a3..2ccdf058 100644
--- a/R/ppc-discrete.R
+++ b/R/ppc-discrete.R
@@ -18,10 +18,12 @@
 #'   of the expected counts.)
 #' @param width For bar plots only, passed to [ggplot2::geom_bar()] to control
 #'   the bar width.
-#' @param size,fatten,linewidth For bar plots, `size`, `fatten`, and `linewidth`
-#'   are passed to [ggplot2::geom_pointrange()] to control the appearance of the
-#'   `yrep` points and intervals. For rootograms `size` is passed to
+#' @param size,linewidth For bar plots, `size` and `linewidth` are passed to
+#'   [ggplot2::geom_pointrange()] to control the appearance of the `yrep` points
+#'   and intervals, where `size` controls the point size and `linewidth` controls
+#'   the line width. For rootograms `size` is passed to
 #'   [ggplot2::geom_line()] and [ggplot2::geom_pointrange()].
+#' @param fatten Deprecated. Point size is now controlled directly by `size`.
 #' @param freq For bar plots only, if `TRUE` (the default) the y-axis will
 #'   display counts. Setting `freq=FALSE` will put proportions on the y-axis.
 #' @param bound_distinct For `ppc_rootogram(style = "discrete)` and `ppc_rootogram_grouped(style = "discrete)`,
@@ -151,7 +153,6 @@
 #'   group = esoph$agegp,
 #'   freq=FALSE,
 #'   prob = 0.5,
-#'   fatten = 1,
 #'   size = 1.5
 #' )
 #' }
@@ -185,7 +186,7 @@ ppc_bars <-
            prob = 0.9,
            width = 0.9,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1,
            freq = TRUE) {
 
@@ -194,6 +195,8 @@ ppc_bars <-
       check_ignored_arguments(...)
       dots$group <- NULL
     }
+    size <- resolve_fatten(fatten, size, default_size = 1,
+                           calling_fn = "ppc_bars")
 
     data <- ppc_bars_data(
       y = y,
@@ -219,7 +222,6 @@ ppc_bars <-
       geom_pointrange(
         mapping = intervals_inner_aes(needs_y = TRUE, color = "yrep"),
         size = size,
-        fatten = fatten,
         linewidth = linewidth,
         na.rm = TRUE
       ) +
@@ -252,7 +254,7 @@ ppc_bars_grouped <-
            prob = 0.9,
            width = 0.9,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1,
            freq = TRUE) {
     check_ignored_arguments(...)
@@ -305,7 +307,6 @@ ppc_rootogram <- function(y,
     bound_distinct = bound_distinct
   )
 
-  # Building geoms for y and y_rep
   geom_y <- if (style == "discrete") {
     geom_point(
       aes(y = .data$obs, shape = .data$obs_shape),
diff --git a/R/ppc-distributions.R b/R/ppc-distributions.R
index 7ab9ffb8..a5c5ad52 100644
--- a/R/ppc-distributions.R
+++ b/R/ppc-distributions.R
@@ -13,8 +13,10 @@
 #' @template args-hist-freq
 #' @template args-dens
 #' @template args-pit-ecdf
-#' @param size,alpha Passed to the appropriate geom to control the appearance of
-#'   the predictive distributions.
+#' @param linewidth,alpha Passed to the appropriate geom to control the
+#'   appearance of the predictive distributions. For overlay and density-type
+#'   plots, `linewidth` controls the line width.
+#' @param size Deprecated for line-width control. Use `linewidth` instead.
 #' @param ... For dot plots, optional additional arguments to pass to [ggdist::stat_dots()].
 #'
 #' @template details-binomial
@@ -110,7 +112,7 @@
 #'
 #' \donttest{
 #' # frequency polygons
-#' ppc_freqpoly(y, yrep[1:3, ], alpha = 0.1, size = 1, binwidth = 5)
+#' ppc_freqpoly(y, yrep[1:3, ], alpha = 0.1, linewidth = 1, binwidth = 5)
 #'
 #' ppc_freqpoly_grouped(y, yrep[1:3, ], group) + yaxis_text()
 #'
@@ -133,7 +135,7 @@
 #' # don't need to only use small number of rows for ppc_violin_grouped
 #' # (as it pools yrep draws within groups)
 #' color_scheme_set("gray")
-#' ppc_violin_grouped(y, yrep, group, size = 1.5)
+#' ppc_violin_grouped(y, yrep, group, linewidth = 1.5)
 #' ppc_violin_grouped(y, yrep, group, alpha = 0)
 #'
 #' # change how y is drawn
@@ -167,7 +169,8 @@ ppc_dens_overlay <-
   function(y,
            yrep,
            ...,
-           size = 0.25,
+           size = NULL,
+           linewidth = 0.25,
            alpha = 0.7,
            trim = FALSE,
            bw = "nrd0",
@@ -176,6 +179,7 @@ ppc_dens_overlay <-
            bounds = NULL,
            n_dens = 1024) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25, calling_fn = "ppc_dens_overlay")
     bounds <- validate_density_bounds(bounds)
 
     data <- ppc_data(y, yrep)
@@ -183,7 +187,7 @@ ppc_dens_overlay <-
       overlay_ppd_densities(
         mapping = aes(group = .data$rep_id, color = "yrep"),
         data = function(x) dplyr::filter(x, !.data$is_y),
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         trim = trim,
         bw = bw,
@@ -221,7 +225,8 @@ ppc_dens_overlay_grouped <- function(y,
                                      yrep,
                                      group,
                                      ...,
-                                     size = 0.25,
+                                     size = NULL,
+                                     linewidth = 0.25,
                                      alpha = 0.7,
                                      trim = FALSE,
                                      bw = "nrd0",
@@ -230,12 +235,13 @@ ppc_dens_overlay_grouped <- function(y,
                                      bounds = NULL,
                                      n_dens = 1024) {
   check_ignored_arguments(...)
+  linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25, calling_fn = "ppc_dens_overlay_grouped")
 
   p_overlay <- ppc_dens_overlay(
     y = y,
     yrep = yrep,
     ...,
-    size = size,
+    linewidth = linewidth,
     alpha = alpha,
     trim = trim,
     bw = bw,
@@ -267,7 +273,8 @@ ppc_ecdf_overlay <- function(y,
                              ...,
                              discrete = deprecated(),
                              pad = TRUE,
-                             size = 0.25,
+                             size = NULL,
+                             linewidth = 0.25,
                              alpha = 0.7) {
   check_ignored_arguments(...)
 
@@ -278,9 +285,9 @@ ppc_ecdf_overlay <- function(y,
       details = "The ECDF is now always plotted as a step function."
     )
   }
+  linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25, calling_fn = "ppc_ecdf_overlay")
 
   data <- ppc_data(y, yrep)
-
   ggplot(data) +
     aes(x = .data$value) +
     hline_at(
@@ -299,7 +306,7 @@ ppc_ecdf_overlay <- function(y,
       data = function(x) dplyr::filter(x, !.data$is_y),
       mapping = aes(group = .data$rep_id, color = "yrep"),
       geom = "step",
-      linewidth = size,
+      linewidth = linewidth,
       alpha = alpha,
       pad = pad
     ) +
@@ -325,9 +332,11 @@ ppc_ecdf_overlay_grouped <- function(y,
                                      ...,
                                      discrete = deprecated(),
                                      pad = TRUE,
-                                     size = 0.25,
+                                     size = NULL,
+                                     linewidth = 0.25,
                                      alpha = 0.7) {
   check_ignored_arguments(...)
+  linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25, calling_fn = "ppc_ecdf_overlay_grouped")
 
   if (is_present(discrete)) {
     deprecate_warn(
@@ -342,7 +351,7 @@ ppc_ecdf_overlay_grouped <- function(y,
     yrep = yrep,
     ...,
     pad = pad,
-    size = size,
+    linewidth = linewidth,
     alpha = alpha
   )
 
@@ -363,10 +372,12 @@ ppc_dens <-
            yrep,
            ...,
            trim = FALSE,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1,
            bounds = NULL) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5, calling_fn = "ppc_dens")
     bounds <- validate_density_bounds(bounds)
     data <- ppc_data(y, yrep)
     ggplot(data, mapping = aes(
@@ -375,7 +386,7 @@ ppc_dens <-
       color = .data$is_y_label
     )) +
       geom_density(
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         trim = trim,
         bounds = bounds
@@ -445,13 +456,15 @@ ppc_freqpoly <-
            binwidth = NULL,
            bins = NULL,
            freq = TRUE,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1) {
     dots <- list(...)
     if (!from_grouped(dots)) {
       check_ignored_arguments(...)
       dots$group <- NULL
     }
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5, calling_fn = "ppc_freqpoly")
 
     data <- ppc_data(y, yrep, group = dots$group)
     ggplot(data, mapping = set_hist_aes(
@@ -463,7 +476,7 @@ ppc_freqpoly <-
         stat = "bin",
         binwidth = binwidth,
         bins = bins,
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha
       ) +
       scale_fill_ppc() +
@@ -491,7 +504,8 @@ ppc_freqpoly_grouped <-
            binwidth = NULL,
            bins = NULL,
            freq = TRUE,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1) {
     check_ignored_arguments(...)
     call <- match.call(expand.dots = FALSE)
@@ -519,9 +533,11 @@ ppc_boxplot <-
            yrep,
            ...,
            notch = TRUE,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5, calling_fn = "ppc_boxplot")
 
     data <- ppc_data(y, yrep)
     ggplot(data, mapping = aes(
@@ -532,7 +548,7 @@ ppc_boxplot <-
     )) +
       geom_boxplot(
         notch = notch,
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         outlier.alpha = 2 / 3,
         outlier.size = 1
@@ -605,13 +621,15 @@ ppc_violin_grouped <-
            group,
            ...,
            probs = c(0.1, 0.5, 0.9),
-           size = 1,
+           size = NULL,
+           linewidth = 1,
            alpha = 1,
            y_draw = c("violin", "points", "both"),
            y_size = 1,
            y_alpha = 1,
            y_jitter = 0.1) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 1, calling_fn = "ppc_violin_grouped")
 
     y_draw <- match.arg(y_draw)
     y_violin <- y_draw %in% c("violin", "both")
@@ -622,7 +640,7 @@ ppc_violin_grouped <-
       aes(fill = "yrep", color = "yrep"),
       draw_quantiles = probs,
       alpha = alpha,
-      linewidth = size
+      linewidth = linewidth
     )
     if (utils::packageVersion("ggplot2") >= "4.0.0") {
       args_violin_yrep$draw_quantiles <- NULL
diff --git a/R/ppc-errors.R b/R/ppc-errors.R
index f0012f24..c1415763 100644
--- a/R/ppc-errors.R
+++ b/R/ppc-errors.R
@@ -19,6 +19,7 @@
 #'   [ggplot2::geom_point()] to control the appearance of the points. For the
 #'   binned error plot, arguments controlling the size of the outline and
 #'   opacity of the shaded region indicating the 2-SE bounds.
+#' @param linewidth For the binned error plot, the line width of the outline.
 #'
 #' @details
 #' All of these functions (aside from the `*_scatter_avg` functions)
@@ -341,9 +342,11 @@ ppc_error_binned <-
            ...,
            facet_args = list(),
            bins = NULL,
-           size = 1,
+           size = NULL,
+           linewidth = 1,
            alpha = 0.25) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 1, calling_fn = "ppc_error_binned")
 
     qx <- enquo(x)
     data <- ppc_error_binnned_data(y, yrep, x = x, bins = bins)
@@ -369,12 +372,12 @@ ppc_error_binned <-
       geom_path(
         mapping = aes(y = .data$se2),
         color = get_color("l"),
-        linewidth = size
+        linewidth = linewidth
       ) +
       geom_path(
         mapping = aes(y = -.data$se2),
         color = get_color("l"),
-        linewidth = size
+        linewidth = linewidth
       ) +
       geom_point(
         mapping = aes(y = .data$err_bar),
diff --git a/R/ppc-intervals.R b/R/ppc-intervals.R
index b41be3b0..2702d1d7 100644
--- a/R/ppc-intervals.R
+++ b/R/ppc-intervals.R
@@ -16,13 +16,14 @@
 #'   variable. For example, `x` could be a predictor variable from a
 #'   regression model, a time variable for time-series models, etc. If `x`
 #'   is missing or `NULL` then the observation index is used for the x-axis.
-#' @param alpha,size,fatten,linewidth Arguments passed to geoms. For ribbon
-#'   plots `alpha` is passed to [ggplot2::geom_ribbon()] to control the opacity
-#'   of the outer ribbon and `size` is passed to [ggplot2::geom_line()] to
-#'   control the size of the line representing the median prediction (`size=0`
-#'   will remove the line). For interval plots `alpha`, `size`, `fatten`, and
-#'   `linewidth` are passed to [ggplot2::geom_pointrange()] (`fatten=0` will
-#'   remove the point estimates).
+#' @param alpha,size,linewidth Arguments passed to geoms. For ribbon plots
+#'   `alpha` is passed to [ggplot2::geom_ribbon()] to control the opacity of the
+#'   outer ribbon and `linewidth` is passed to [ggplot2::geom_line()] to control
+#'   the width of the line representing the median prediction (`linewidth=0`
+#'   will remove the line). For interval plots `alpha`, `size`, and `linewidth`
+#'   are passed to [ggplot2::geom_pointrange()] where `size` controls the point
+#'   size and `linewidth` controls the line width.
+#' @param fatten Deprecated. Point size is now controlled directly by `size`.
 #' @param ... Currently unused.
 #'
 #' @template return-ggplot-or-data
@@ -71,11 +72,11 @@
 #' ppc_ribbon(y, yrep, y_draw = "both")
 #' }
 #'
-#' ppc_intervals(y, yrep, size = 1.5, fatten = 0) # remove the yrep point estimates
+#' ppc_intervals(y, yrep, size = 0) # remove the yrep point estimates
 #'
 #' color_scheme_set("teal")
 #' year <- 1950:1999
-#' ppc_intervals(y, yrep, x = year, fatten = 1) + ggplot2::xlab("Year")
+#' ppc_intervals(y, yrep, x = year, size = 1) + ggplot2::xlab("Year")
 #' ppc_ribbon(y, yrep, x = year) + ggplot2::xlab("Year")
 #'
 #' color_scheme_set("pink")
@@ -136,7 +137,7 @@ ppc_intervals <-
            prob_outer = 0.9,
            alpha = 0.33,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1) {
 
     dots <- list(...)
@@ -144,6 +145,8 @@ ppc_intervals <-
       check_ignored_arguments(...)
       dots$group <- NULL
     }
+    size <- resolve_fatten(fatten, size, default_size = 1,
+                           calling_fn = "ppc_intervals")
 
     data <-
       ppc_intervals_data(
@@ -170,7 +173,6 @@ ppc_intervals <-
         shape = 21,
         stroke = 0.5,
         size = size,
-        fatten = fatten,
         linewidth = linewidth
       ) +
       geom_point(
@@ -203,7 +205,7 @@ ppc_intervals_grouped <-
            prob_outer = 0.9,
            alpha = 0.33,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1) {
     check_ignored_arguments(...)
     call <- match.call(expand.dots = FALSE)
@@ -226,10 +228,14 @@ ppc_ribbon <-
            prob = 0.5,
            prob_outer = 0.9,
            alpha = 0.33,
-           size = 0.25,
+           size = NULL,
+           linewidth = 0.25,
            y_draw = c("line", "points", "both")) {
 
     y_draw <- match.arg(y_draw)
+    linewidth <- resolve_linewidth(size, linewidth,
+                                   default_linewidth = 0.25,
+                                   calling_fn = "ppc_ribbon")
     dots <- list(...)
     if (!from_grouped(dots)) {
       check_ignored_arguments(...)
@@ -251,21 +257,21 @@ ppc_ribbon <-
       geom_ribbon(
         mapping = intervals_outer_aes(fill = "yrep", color = "yrep"),
         color = NA,
-        linewidth = 0.2 * size,
+        linewidth = 0.2 * linewidth,
         alpha = alpha
       ) +
       geom_ribbon(
         mapping = intervals_outer_aes(),
         fill = NA,
         color = get_color("m"),
-        linewidth = 0.2 * size,
+        linewidth = 0.2 * linewidth,
         alpha = 1
       ) +
-      geom_ribbon(linewidth = 0.5 * size) +
+      geom_ribbon(linewidth = 0.5 * linewidth) +
       geom_line(
         mapping = aes(y = .data$m),
         color = get_color("m"),
-        linewidth = size
+        linewidth = linewidth
       ) +
       geom_blank(aes(fill = "y"))
 
@@ -303,7 +309,8 @@ ppc_ribbon_grouped <-
            prob = 0.5,
            prob_outer = 0.9,
            alpha = 0.33,
-           size = 0.25,
+           size = NULL,
+           linewidth = 0.25,
            y_draw = c("line", "points", "both")) {
     check_ignored_arguments(...)
     call <- match.call(expand.dots = FALSE)
diff --git a/R/ppc-loo.R b/R/ppc-loo.R
index 1be70f14..152686a2 100644
--- a/R/ppc-loo.R
+++ b/R/ppc-loo.R
@@ -15,13 +15,14 @@
 #' @param psis_object If using **loo** version `2.0.0` or greater, an
 #'   object returned by the `psis()` function (or by the `loo()` function
 #'   with argument `save_psis` set to `TRUE`).
-#' @param alpha,size,fatten,linewidth Arguments passed to code geoms to control
-#'   plot aesthetics. For `ppc_loo_pit_qq()` and `ppc_loo_pit_overlay()`,`size`
-#'   and `alpha` are passed to [ggplot2::geom_point()] and
-#'   [ggplot2::geom_density()], respectively. For `ppc_loo_intervals()`, `size`
-#'   `linewidth` and `fatten` are passed to [ggplot2::geom_pointrange()]. For
-#'   `ppc_loo_ribbon()`, `alpha` and `size`  are passed to
-#'   [ggplot2::geom_ribbon()].
+#' @param alpha,size,linewidth Arguments passed to geoms to control plot
+#'   aesthetics. For `ppc_loo_pit_qq()`, `size` and `alpha` are passed to
+#'   [ggplot2::geom_point()]. For `ppc_loo_pit_overlay()`, `linewidth` and
+#'   `alpha` control the line width and opacity. For `ppc_loo_intervals()`,
+#'   `size` controls the point size and `linewidth` controls the line width
+#'   in [ggplot2::geom_pointrange()]. For `ppc_loo_ribbon()`, `alpha` and
+#'   `linewidth` control the ribbon opacity and median line width.
+#' @param fatten Deprecated. Point size is now controlled directly by `size`.
 #'
 #' @template return-ggplot-or-data
 #'
@@ -177,7 +178,8 @@ ppc_loo_pit_overlay <- function(y,
                                 psis_object = NULL,
                                 pit = NULL,
                                 samples = 100,
-                                size = 0.25,
+                                size = NULL,
+                                linewidth = 0.25,
                                 alpha = 0.7,
                                 boundary_correction = TRUE,
                                 grid_len = 512,
@@ -187,6 +189,9 @@ ppc_loo_pit_overlay <- function(y,
                                 kernel = "gaussian",
                                 n_dens = 1024) {
   check_ignored_arguments(..., ok_args = list("moment_match"))
+  linewidth <- resolve_linewidth(size, linewidth,
+                                 default_linewidth = 0.25,
+                                 calling_fn = "ppc_loo_pit_overlay")
 
   data <-
     ppc_loo_pit_data(
@@ -221,7 +226,7 @@ ppc_loo_pit_overlay <- function(y,
         aes(group = .data$rep_id, color = "yrep"),
         data = function(x) dplyr::filter(x, !.data$is_y),
         alpha = alpha,
-        linewidth = size,
+        linewidth = linewidth,
         na.rm = TRUE
       ) +
       geom_line(
@@ -245,7 +250,7 @@ ppc_loo_pit_overlay <- function(y,
         data = function(x) dplyr::filter(x, !.data$is_y),
         geom = "line",
         position = "identity",
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         trim = trim,
         bw = bw,
@@ -545,10 +550,12 @@ ppc_loo_intervals <-
            prob_outer = 0.9,
            alpha = 0.33,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1,
            order = c("index", "median")) {
     check_ignored_arguments(..., ok_args = list("moment_match"))
+    size <- resolve_fatten(fatten, size, default_size = 1,
+                           calling_fn = "ppc_loo_intervals")
     y <- validate_y(y)
     order_by_median <- match.arg(order) == "median"
     if (!is.null(intervals)) {
@@ -600,14 +607,13 @@ ppc_loo_intervals <-
       geom_linerange(
         mapping = intervals_outer_aes(color = "yrep"),
         alpha = alpha,
-        linewidth = size
+        linewidth = linewidth
       ) +
       geom_pointrange(
         shape = 21,
         stroke = 0.5,
         linewidth = linewidth,
-        size = size,
-        fatten = fatten
+        size = size
       ) +
       geom_point(
         mapping = aes(
@@ -639,8 +645,12 @@ ppc_loo_ribbon <-
            prob = 0.5,
            prob_outer = 0.9,
            alpha = 0.33,
-           size = 0.25) {
+           size = NULL,
+           linewidth = 0.25) {
     check_ignored_arguments(..., ok_args = list("moment_match"))
+    linewidth <- resolve_linewidth(size, linewidth,
+                                   default_linewidth = 0.25,
+                                   calling_fn = "ppc_loo_ribbon")
     y <- validate_y(y)
     if (!is.null(intervals)) {
       stopifnot(is.matrix(intervals), ncol(intervals) %in% c(3, 5))
@@ -690,7 +700,7 @@ ppc_loo_ribbon <-
       geom_line(
         mapping = aes(y = .data$m),
         color = get_color("m"),
-        linewidth = size
+        linewidth = linewidth
       ) +
       geom_blank(aes(fill = "y")) +
       geom_line(
diff --git a/R/ppd-distributions.R b/R/ppd-distributions.R
index 03b7e20f..2930d135 100644
--- a/R/ppd-distributions.R
+++ b/R/ppd-distributions.R
@@ -42,7 +42,8 @@ ppd_dens_overlay <-
   function(ypred,
            show_marginal = FALSE,
            ...,
-           size = 0.25,
+           size = NULL,
+           linewidth = 0.25,
            alpha = 0.7,
            trim = FALSE,
            bw = "nrd0",
@@ -51,13 +52,15 @@ ppd_dens_overlay <-
            bounds = NULL,
            n_dens = 1024) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25,
+                                   calling_fn = "ppd_dens_overlay")
     bounds <- validate_density_bounds(bounds)
 
     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,
+        linewidth = linewidth,
         alpha = alpha,
         trim = trim,
         bw = bw,
@@ -78,7 +81,7 @@ ppd_dens_overlay <-
         show_marginal = show_marginal,
         # in case user turns legend back on
         guide = guide_legend(
-          override.aes = list(linewidth = 2 * size, alpha = 1)
+          override.aes = list(linewidth = 2 * linewidth, alpha = 1)
         )
       )
 
@@ -109,9 +112,12 @@ ppd_ecdf_overlay <-
            ...,
            discrete = deprecated(),
            pad = TRUE,
-           size = 0.25,
+           size = NULL,
+           linewidth = 0.25,
            alpha = 0.7) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.25,
+                                   calling_fn = "ppd_ecdf_overlay")
 
     if (is_present(discrete)) {
       deprecate_warn(
@@ -132,7 +138,7 @@ ppd_ecdf_overlay <-
       stat_ecdf(
         mapping = aes(group = .data$rep_id, color = "ypred", linetype = "ypred"),
         geom = "step",
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         pad = pad
       ) +
@@ -146,7 +152,7 @@ ppd_ecdf_overlay <-
         show_marginal = show_marginal,
         # in case user turns legend back on
         guide = guide_legend(
-          override.aes = list(linewidth = 2 * size, alpha = 1)
+          override.aes = list(linewidth = 2 * linewidth, alpha = 1)
         )
       )
 
@@ -171,10 +177,13 @@ ppd_dens <-
              show_marginal = FALSE,
              ...,
              trim = FALSE,
-             size = 0.5,
+             size = NULL,
+             linewidth = 0.5,
              alpha = 1,
              bounds = NULL) {
       check_ignored_arguments(...)
+      linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5,
+                                     calling_fn = "ppd_dens")
       bounds <- validate_density_bounds(bounds)
 
       data <- ppd_data(ypred)
@@ -182,7 +191,7 @@ ppd_dens <-
         geom_density(
           aes(color = "ypred",
               fill = "ypred"),
-          linewidth = size,
+          linewidth = linewidth,
           alpha = alpha,
           trim = trim,
           bounds = bounds
@@ -339,7 +348,8 @@ ppd_freqpoly <-
            binwidth = NULL,
            bins = NULL,
            freq = !show_marginal,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1) {
 
     dots <- list(...)
@@ -347,6 +357,8 @@ ppd_freqpoly <-
       check_ignored_arguments(...)
       dots$group <- NULL
     }
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5,
+                                   calling_fn = "ppd_freqpoly")
 
     data <- ppd_data(ypred, group = dots$group)
     p <- ggplot(data, mapping = set_hist_aes(freq)) +
@@ -356,7 +368,7 @@ ppd_freqpoly <-
         stat = "bin",
         binwidth = binwidth,
         bins = bins,
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha
       ) +
       facet_wrap_parsed("rep_label") +
@@ -403,10 +415,13 @@ ppd_freqpoly_grouped <-
            binwidth = NULL,
            bins = NULL,
            freq = !show_marginal,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1) {
 
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5,
+                                   calling_fn = "ppd_freqpoly_grouped")
     call <- match.call(expand.dots = FALSE)
     g <- eval(ungroup_call("ppd_freqpoly", call), parent.frame())
     g +
@@ -428,9 +443,12 @@ ppd_boxplot <-
            show_marginal = FALSE,
            ...,
            notch = TRUE,
-           size = 0.5,
+           size = NULL,
+           linewidth = 0.5,
            alpha = 1) {
     check_ignored_arguments(...)
+    linewidth <- resolve_linewidth(size, linewidth, default_linewidth = 0.5,
+                                   calling_fn = "ppd_boxplot")
 
     data <- ppd_data(ypred)
     p <- ggplot(data, mapping = aes(
@@ -441,7 +459,7 @@ ppd_boxplot <-
         aes(color = "ypred",
             fill = "ypred"),
         notch = notch,
-        linewidth = size,
+        linewidth = linewidth,
         alpha = alpha,
         outlier.color = get_color("lh"),
         outlier.alpha = 2/3,
@@ -518,4 +536,3 @@ overlay_ppd_densities <-
            position = "identity") {
     stat_density(..., geom = geom, position = position)
   }
-
diff --git a/R/ppd-intervals.R b/R/ppd-intervals.R
index 63184072..7a4691ae 100644
--- a/R/ppd-intervals.R
+++ b/R/ppd-intervals.R
@@ -23,12 +23,12 @@
 #' group <- example_group_data()
 #'
 #' ppd_intervals(ypred[, 1:50])
-#' ppd_intervals(ypred[, 1:50], fatten = 0)
-#' ppd_intervals(ypred[, 1:50], fatten = 0, linewidth = 2)
-#' ppd_intervals(ypred[, 1:50], prob_outer = 0.75, fatten = 0, linewidth = 2)
+#' ppd_intervals(ypred[, 1:50], size = 0)
+#' ppd_intervals(ypred[, 1:50], size = 0, linewidth = 2)
+#' ppd_intervals(ypred[, 1:50], prob_outer = 0.75, size = 0, linewidth = 2)
 #'
 #' # put a predictor variable on the x-axis
-#' ppd_intervals(ypred[, 1:100], x = x[1:100], fatten = 1) +
+#' ppd_intervals(ypred[, 1:100], x = x[1:100], size = 1) +
 #'   ggplot2::labs(y = "Prediction", x = "Some variable of interest")
 #'
 #' # with a grouping variable too
@@ -36,16 +36,15 @@
 #'   ypred = ypred[, 1:100],
 #'   x = x[1:100],
 #'   group = group[1:100],
-#'   size = 2,
-#'   fatten = 0,
+#'   size = 0,
 #'   facet_args = list(nrow = 2)
 #' )
 #'
 #' # even reducing size, ppd_intervals is too cluttered when there are many
 #' # observations included (ppd_ribbon is better)
-#' ppd_intervals(ypred, size = 0.5, fatten = 0.1, linewidth = 0.5)
+#' ppd_intervals(ypred, size = 0.1, linewidth = 0.5)
 #' ppd_ribbon(ypred)
-#' ppd_ribbon(ypred, size = 0) # remove line showing median prediction
+#' ppd_ribbon(ypred, linewidth = 0) # remove line showing median prediction
 #'
 NULL
 
@@ -59,7 +58,7 @@ ppd_intervals <-
            prob_outer = 0.9,
            alpha = 0.33,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1) {
 
     dots <- list(...)
@@ -67,7 +66,8 @@ ppd_intervals <-
       check_ignored_arguments(...)
       dots$group <- NULL
     }
-
+    size <- resolve_fatten(fatten, size, default_size = 1,
+                           calling_fn = "ppd_intervals")
 
     data <- ppd_intervals_data(
       ypred = ypred,
@@ -90,7 +90,6 @@ ppd_intervals <-
         shape = 21,
         stroke = 0.5,
         size = size,
-        fatten = fatten,
         linewidth = linewidth
       ) +
       scale_color_ppd() +
@@ -113,7 +112,7 @@ ppd_intervals_grouped <-
            prob_outer = 0.9,
            alpha = 0.33,
            size = 1,
-           fatten = 2.5,
+           fatten = deprecated(),
            linewidth = 1) {
     check_ignored_arguments(...)
     call <- match.call(expand.dots = FALSE)
@@ -133,8 +132,12 @@ ppd_ribbon <-
            prob = 0.5,
            prob_outer = 0.9,
            alpha = 0.33,
-           size = 0.25) {
+           size = NULL,
+           linewidth = 0.25) {
 
+    linewidth <- resolve_linewidth(size, linewidth,
+                                   default_linewidth = 0.25,
+                                   calling_fn = "ppd_ribbon")
     dots <- list(...)
     if (!from_grouped(dots)) {
       check_ignored_arguments(...)
@@ -152,21 +155,21 @@ ppd_ribbon <-
       geom_ribbon(
         mapping = intervals_outer_aes(fill = "ypred", color = "ypred"),
         color = NA,
-        linewidth = 0.2 * size,
+        linewidth = 0.2 * linewidth,
         alpha = alpha
       ) +
       geom_ribbon(
         mapping = intervals_outer_aes(),
         fill = NA,
         color = get_color("mh"),
-        linewidth = 0.2 * size,
+        linewidth = 0.2 * linewidth,
         alpha = 1
       ) +
-      geom_ribbon(linewidth = 0.5 * size) +
+      geom_ribbon(linewidth = 0.5 * linewidth) +
       geom_line(
         mapping = aes(y = .data$m),
         color = get_color("d"),
-        linewidth = size
+        linewidth = linewidth
       ) +
       scale_color_ppd() +
       scale_fill_ppd() +
@@ -187,7 +190,8 @@ ppd_ribbon_grouped <-
            prob = 0.5,
            prob_outer = 0.9,
            alpha = 0.33,
-           size = 0.25) {
+           size = NULL,
+           linewidth = 0.25) {
     check_ignored_arguments(...)
     call <- match.call(expand.dots = FALSE)
     g <- eval(ungroup_call("ppd_ribbon", call), parent.frame())
diff --git a/man/MCMC-diagnostics.Rd b/man/MCMC-diagnostics.Rd
index f6dbad81..bbd75508 100644
--- a/man/MCMC-diagnostics.Rd
+++ b/man/MCMC-diagnostics.Rd
@@ -31,7 +31,8 @@ mcmc_acf(
   ...,
   facet_args = list(),
   lags = 20,
-  size = NULL
+  size = NULL,
+  linewidth = NULL
 )
 
 mcmc_acf_bar(
@@ -49,8 +50,7 @@ mcmc_acf_bar(
 \item{...}{Currently ignored.}
 
 \item{size}{Optional values to override \code{\link[ggplot2:geom_point]{ggplot2::geom_point()}}'s
-default size (for \code{mcmc_rhat()}, \code{mcmc_neff()}) or
-\code{\link[ggplot2:geom_path]{ggplot2::geom_line()}}'s default line width (for \code{mcmc_acf()}).}
+default size (for \code{mcmc_rhat()}, \code{mcmc_neff()}).}
 
 \item{binwidth}{Passed to \code{\link[ggplot2:geom_histogram]{ggplot2::geom_histogram()}}, \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_area()}},
 and \code{\link[ggdist:stat_dots]{ggdist::stat_dots()}} to override the default binwidth.}
@@ -95,6 +95,9 @@ then \strong{bayesplot} may use \code{scales="free"} as the default (depending
 on the plot) instead of the \strong{ggplot2} default of \code{scales="fixed"}.}
 
 \item{lags}{The number of lags to show in the autocorrelation plot.}
+
+\item{linewidth}{Optional value to override \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}}'s
+default line width (for \code{mcmc_acf()}).}
 }
 \value{
 The plotting functions return a ggplot object that can be further
diff --git a/man/MCMC-parcoord.Rd b/man/MCMC-parcoord.Rd
index cbb7d294..a2dd361b 100644
--- a/man/MCMC-parcoord.Rd
+++ b/man/MCMC-parcoord.Rd
@@ -13,7 +13,8 @@ mcmc_parcoord(
   regex_pars = character(),
   transformations = list(),
   ...,
-  size = 0.2,
+  size = NULL,
+  linewidth = 0.2,
   alpha = 0.3,
   np = NULL,
   np_style = parcoord_style_np()
@@ -78,7 +79,7 @@ abbreviated for convenience in interactive use (e.g., \code{transform}).}
 
 \item{...}{Currently ignored.}
 
-\item{size, alpha}{Arguments passed on to \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}}.}
+\item{size, alpha, linewidth}{Arguments passed on to \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}}.}
 
 \item{np}{For models fit using \link{NUTS} (more generally,
 any \href{https://en.wikipedia.org/wiki/Symplectic_integrator}{symplectic integrator}),
diff --git a/man/PPC-censoring.Rd b/man/PPC-censoring.Rd
index 68026b20..5dcb30e1 100644
--- a/man/PPC-censoring.Rd
+++ b/man/PPC-censoring.Rd
@@ -13,7 +13,8 @@ ppc_km_overlay(
   status_y,
   left_truncation_y = NULL,
   extrapolation_factor = 1.2,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 )
 
@@ -25,7 +26,8 @@ ppc_km_overlay_grouped(
   status_y,
   left_truncation_y = NULL,
   extrapolation_factor = 1.2,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 )
 }
@@ -59,8 +61,8 @@ posterior predictive draws may not be shown by default because of the
 controlled extrapolation. To display all posterior predictive draws, set
 \code{extrapolation_factor = Inf}.}
 
-\item{size, alpha}{Passed to the appropriate geom to control the appearance of
-the \code{yrep} distributions.}
+\item{size, alpha, linewidth}{Passed to the appropriate geom to control the
+appearance of the \code{yrep} distributions.}
 
 \item{group}{A grouping variable of the same length as \code{y}.
 Will be coerced to \link[base:factor]{factor} if not already a factor.
diff --git a/man/PPC-discrete.Rd b/man/PPC-discrete.Rd
index 5f832a78..dc94706f 100644
--- a/man/PPC-discrete.Rd
+++ b/man/PPC-discrete.Rd
@@ -16,7 +16,7 @@ ppc_bars(
   prob = 0.9,
   width = 0.9,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1,
   freq = TRUE
 )
@@ -30,7 +30,7 @@ ppc_bars_grouped(
   prob = 0.9,
   width = 0.9,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1,
   freq = TRUE
 )
@@ -81,11 +81,14 @@ of the expected counts.)}
 \item{width}{For bar plots only, passed to \code{\link[ggplot2:geom_bar]{ggplot2::geom_bar()}} to control
 the bar width.}
 
-\item{size, fatten, linewidth}{For bar plots, \code{size}, \code{fatten}, and \code{linewidth}
-are passed to \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}} to control the appearance of the
-\code{yrep} points and intervals. For rootograms \code{size} is passed to
+\item{size, linewidth}{For bar plots, \code{size} and \code{linewidth} are passed to
+\code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}} to control the appearance of the \code{yrep} points
+and intervals, where \code{size} controls the point size and \code{linewidth} controls
+the line width. For rootograms \code{size} is passed to
 \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}} and \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}}.}
 
+\item{fatten}{Deprecated. Point size is now controlled directly by \code{size}.}
+
 \item{freq}{For bar plots only, if \code{TRUE} (the default) the y-axis will
 display counts. Setting \code{freq=FALSE} will put proportions on the y-axis.}
 
@@ -250,7 +253,6 @@ ppc_bars_grouped(
   group = esoph$agegp,
   freq=FALSE,
   prob = 0.5,
-  fatten = 1,
   size = 1.5
 )
 }
diff --git a/man/PPC-distributions.Rd b/man/PPC-distributions.Rd
index 1aed7318..2ba6e34c 100644
--- a/man/PPC-distributions.Rd
+++ b/man/PPC-distributions.Rd
@@ -24,7 +24,8 @@ ppc_dens_overlay(
   y,
   yrep,
   ...,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7,
   trim = FALSE,
   bw = "nrd0",
@@ -39,7 +40,8 @@ ppc_dens_overlay_grouped(
   yrep,
   group,
   ...,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7,
   trim = FALSE,
   bw = "nrd0",
@@ -55,7 +57,8 @@ ppc_ecdf_overlay(
   ...,
   discrete = deprecated(),
   pad = TRUE,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 )
 
@@ -66,11 +69,21 @@ ppc_ecdf_overlay_grouped(
   ...,
   discrete = deprecated(),
   pad = TRUE,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 )
 
-ppc_dens(y, yrep, ..., trim = FALSE, size = 0.5, alpha = 1, bounds = NULL)
+ppc_dens(
+  y,
+  yrep,
+  ...,
+  trim = FALSE,
+  size = NULL,
+  linewidth = 0.5,
+  alpha = 1,
+  bounds = NULL
+)
 
 ppc_hist(
   y,
@@ -89,7 +102,8 @@ ppc_freqpoly(
   binwidth = NULL,
   bins = NULL,
   freq = TRUE,
-  size = 0.5,
+  size = NULL,
+  linewidth = 0.5,
   alpha = 1
 )
 
@@ -101,11 +115,20 @@ ppc_freqpoly_grouped(
   binwidth = NULL,
   bins = NULL,
   freq = TRUE,
-  size = 0.5,
+  size = NULL,
+  linewidth = 0.5,
   alpha = 1
 )
 
-ppc_boxplot(y, yrep, ..., notch = TRUE, size = 0.5, alpha = 1)
+ppc_boxplot(
+  y,
+  yrep,
+  ...,
+  notch = TRUE,
+  size = NULL,
+  linewidth = 0.5,
+  alpha = 1
+)
 
 ppc_dots(y, yrep, ..., binwidth = NA, quantiles = 100, freq = TRUE)
 
@@ -115,7 +138,8 @@ ppc_violin_grouped(
   group,
   ...,
   probs = c(0.1, 0.5, 0.9),
-  size = 1,
+  size = NULL,
+  linewidth = 1,
   alpha = 1,
   y_draw = c("violin", "points", "both"),
   y_size = 1,
@@ -165,8 +189,11 @@ to the corresponding observation.}
 
 \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
-the predictive distributions.}
+\item{size}{Deprecated for line-width control. Use \code{linewidth} instead.}
+
+\item{linewidth, alpha}{Passed to the appropriate geom to control the
+appearance of the predictive distributions. For overlay and density-type
+plots, \code{linewidth} controls the line width.}
 
 \item{trim}{A logical scalar passed to \code{\link[ggplot2:geom_density]{ggplot2::geom_density()}}.}
 
@@ -348,7 +375,7 @@ ppc_dots(y, yrep[1:8, ])
 
 \donttest{
 # frequency polygons
-ppc_freqpoly(y, yrep[1:3, ], alpha = 0.1, size = 1, binwidth = 5)
+ppc_freqpoly(y, yrep[1:3, ], alpha = 0.1, linewidth = 1, binwidth = 5)
 
 ppc_freqpoly_grouped(y, yrep[1:3, ], group) + yaxis_text()
 
@@ -371,7 +398,7 @@ ppc_pit_ecdf_grouped(y, yrep, group=group, prob=0.99)
 # don't need to only use small number of rows for ppc_violin_grouped
 # (as it pools yrep draws within groups)
 color_scheme_set("gray")
-ppc_violin_grouped(y, yrep, group, size = 1.5)
+ppc_violin_grouped(y, yrep, group, linewidth = 1.5)
 ppc_violin_grouped(y, yrep, group, alpha = 0)
 
 # change how y is drawn
diff --git a/man/PPC-errors.Rd b/man/PPC-errors.Rd
index f3931c26..9f8f53b4 100644
--- a/man/PPC-errors.Rd
+++ b/man/PPC-errors.Rd
@@ -75,7 +75,8 @@ ppc_error_binned(
   ...,
   facet_args = list(),
   bins = NULL,
-  size = 1,
+  size = NULL,
+  linewidth = 1,
   alpha = 0.25
 )
 
@@ -131,6 +132,8 @@ opacity of the shaded region indicating the 2-SE bounds.}
 posterior average. In both cases, the function should take a vector input and
 return a scalar statistic. The function name is displayed in the axis-label.
 Defaults to \code{"mean"}.}
+
+\item{linewidth}{For the binned error plot, the line width of the outline.}
 }
 \value{
 The plotting functions return a ggplot object that can be further
diff --git a/man/PPC-intervals.Rd b/man/PPC-intervals.Rd
index 5b3bea32..5918b314 100644
--- a/man/PPC-intervals.Rd
+++ b/man/PPC-intervals.Rd
@@ -19,7 +19,7 @@ ppc_intervals(
   prob_outer = 0.9,
   alpha = 0.33,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1
 )
 
@@ -34,7 +34,7 @@ ppc_intervals_grouped(
   prob_outer = 0.9,
   alpha = 0.33,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1
 )
 
@@ -46,7 +46,8 @@ ppc_ribbon(
   prob = 0.5,
   prob_outer = 0.9,
   alpha = 0.33,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   y_draw = c("line", "points", "both")
 )
 
@@ -60,7 +61,8 @@ ppc_ribbon_grouped(
   prob = 0.5,
   prob_outer = 0.9,
   alpha = 0.33,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   y_draw = c("line", "points", "both")
 )
 
@@ -107,13 +109,15 @@ is missing or \code{NULL} then the observation index is used for the x-axis.}
 probability mass to include in the inner and outer intervals. The defaults
 are \code{prob=0.5} and \code{prob_outer=0.9}.}
 
-\item{alpha, size, fatten, linewidth}{Arguments passed to geoms. For ribbon
-plots \code{alpha} is passed to \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}} to control the opacity
-of the outer ribbon and \code{size} is passed to \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}} to
-control the size of the line representing the median prediction (\code{size=0}
-will remove the line). For interval plots \code{alpha}, \code{size}, \code{fatten}, and
-\code{linewidth} are passed to \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}} (\code{fatten=0} will
-remove the point estimates).}
+\item{alpha, size, linewidth}{Arguments passed to geoms. For ribbon plots
+\code{alpha} is passed to \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}} to control the opacity of the
+outer ribbon and \code{linewidth} is passed to \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}} to control
+the width of the line representing the median prediction (\code{linewidth=0}
+will remove the line). For interval plots \code{alpha}, \code{size}, and \code{linewidth}
+are passed to \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}} where \code{size} controls the point
+size and \code{linewidth} controls the line width.}
+
+\item{fatten}{Deprecated. Point size is now controlled directly by \code{size}.}
 
 \item{group}{A grouping variable of the same length as \code{y}.
 Will be coerced to \link[base:factor]{factor} if not already a factor.
@@ -181,11 +185,11 @@ ppc_ribbon(y, yrep, y_draw = "points")
 ppc_ribbon(y, yrep, y_draw = "both")
 }
 
-ppc_intervals(y, yrep, size = 1.5, fatten = 0) # remove the yrep point estimates
+ppc_intervals(y, yrep, size = 0) # remove the yrep point estimates
 
 color_scheme_set("teal")
 year <- 1950:1999
-ppc_intervals(y, yrep, x = year, fatten = 1) + ggplot2::xlab("Year")
+ppc_intervals(y, yrep, x = year, size = 1) + ggplot2::xlab("Year")
 ppc_ribbon(y, yrep, x = year) + ggplot2::xlab("Year")
 
 color_scheme_set("pink")
diff --git a/man/PPC-loo.Rd b/man/PPC-loo.Rd
index 6c57dc5c..d77045c9 100644
--- a/man/PPC-loo.Rd
+++ b/man/PPC-loo.Rd
@@ -19,7 +19,8 @@ ppc_loo_pit_overlay(
   psis_object = NULL,
   pit = NULL,
   samples = 100,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7,
   boundary_correction = TRUE,
   grid_len = 512,
@@ -90,7 +91,7 @@ ppc_loo_intervals(
   prob_outer = 0.9,
   alpha = 0.33,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1,
   order = c("index", "median")
 )
@@ -105,7 +106,8 @@ ppc_loo_ribbon(
   prob = 0.5,
   prob_outer = 0.9,
   alpha = 0.33,
-  size = 0.25
+  size = NULL,
+  linewidth = 0.25
 )
 }
 \arguments{
@@ -143,13 +145,13 @@ distribution. The default is 100. The density estimate of each dataset is
 plotted as a thin line in the plot, with the density estimate of the LOO
 PITs overlaid as a thicker dark line.}
 
-\item{alpha, size, fatten, linewidth}{Arguments passed to code geoms to control
-plot aesthetics. For \code{ppc_loo_pit_qq()} and \code{ppc_loo_pit_overlay()},\code{size}
-and \code{alpha} are passed to \code{\link[ggplot2:geom_point]{ggplot2::geom_point()}} and
-\code{\link[ggplot2:geom_density]{ggplot2::geom_density()}}, respectively. For \code{ppc_loo_intervals()}, \code{size}
-\code{linewidth} and \code{fatten} are passed to \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}}. For
-\code{ppc_loo_ribbon()}, \code{alpha} and \code{size}  are passed to
-\code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}}.}
+\item{alpha, size, linewidth}{Arguments passed to geoms to control plot
+aesthetics. For \code{ppc_loo_pit_qq()}, \code{size} and \code{alpha} are passed to
+\code{\link[ggplot2:geom_point]{ggplot2::geom_point()}}. For \code{ppc_loo_pit_overlay()}, \code{linewidth} and
+\code{alpha} control the line width and opacity. For \code{ppc_loo_intervals()},
+\code{size} controls the point size and \code{linewidth} controls the line width
+in \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}}. For \code{ppc_loo_ribbon()}, \code{alpha} and
+\code{linewidth} control the ribbon opacity and median line width.}
 
 \item{boundary_correction}{For \code{ppc_loo_pit_overlay()}, when set to \code{TRUE}
 (the default) the function will compute boundary corrected density values
@@ -218,6 +220,8 @@ data points and five columns in the following order: lower outer interval,
 lower inner interval, median (50\%), upper inner interval and upper outer
 interval (column names are ignored).}
 
+\item{fatten}{Deprecated. Point size is now controlled directly by \code{size}.}
+
 \item{order}{For \code{ppc_loo_intervals()}, a string indicating how to arrange
 the plotted intervals. The default (\code{"index"}) is to plot them in the
 order of the observations. The alternative (\code{"median"}) arranges them
diff --git a/man/PPD-distributions.Rd b/man/PPD-distributions.Rd
index a8a7d6bf..01b4305b 100644
--- a/man/PPD-distributions.Rd
+++ b/man/PPD-distributions.Rd
@@ -19,7 +19,8 @@ ppd_dens_overlay(
   ypred,
   show_marginal = FALSE,
   ...,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7,
   trim = FALSE,
   bw = "nrd0",
@@ -35,7 +36,8 @@ ppd_ecdf_overlay(
   ...,
   discrete = deprecated(),
   pad = TRUE,
-  size = 0.25,
+  size = NULL,
+  linewidth = 0.25,
   alpha = 0.7
 )
 
@@ -44,7 +46,8 @@ ppd_dens(
   show_marginal = FALSE,
   ...,
   trim = FALSE,
-  size = 0.5,
+  size = NULL,
+  linewidth = 0.5,
   alpha = 1,
   bounds = NULL
 )
@@ -75,7 +78,8 @@ ppd_freqpoly(
   binwidth = NULL,
   bins = NULL,
   freq = !show_marginal,
-  size = 0.5,
+  size = NULL,
+  linewidth = 0.5,
   alpha = 1
 )
 
@@ -87,7 +91,8 @@ ppd_freqpoly_grouped(
   binwidth = NULL,
   bins = NULL,
   freq = !show_marginal,
-  size = 0.5,
+  size = NULL,
+  linewidth = 0.5,
   alpha = 1
 )
 
@@ -96,7 +101,8 @@ ppd_boxplot(
   show_marginal = FALSE,
   ...,
   notch = TRUE,
-  size = 0.5,
+  size = NULL,
+  linewidth = 0.5,
   alpha = 1
 )
 }
@@ -116,8 +122,11 @@ to the corresponding observation.}
 
 \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
-the predictive distributions.}
+\item{size}{Deprecated for line-width control. Use \code{linewidth} instead.}
+
+\item{linewidth, alpha}{Passed to the appropriate geom to control the
+appearance of the predictive distributions. For overlay and density-type
+plots, \code{linewidth} controls the line width.}
 
 \item{trim}{A logical scalar passed to \code{\link[ggplot2:geom_density]{ggplot2::geom_density()}}.}
 
diff --git a/man/PPD-intervals.Rd b/man/PPD-intervals.Rd
index edadf8e9..edeb9fa0 100644
--- a/man/PPD-intervals.Rd
+++ b/man/PPD-intervals.Rd
@@ -18,7 +18,7 @@ ppd_intervals(
   prob_outer = 0.9,
   alpha = 0.33,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1
 )
 
@@ -32,7 +32,7 @@ ppd_intervals_grouped(
   prob_outer = 0.9,
   alpha = 0.33,
   size = 1,
-  fatten = 2.5,
+  fatten = deprecated(),
   linewidth = 1
 )
 
@@ -43,7 +43,8 @@ ppd_ribbon(
   prob = 0.5,
   prob_outer = 0.9,
   alpha = 0.33,
-  size = 0.25
+  size = NULL,
+  linewidth = 0.25
 )
 
 ppd_ribbon_grouped(
@@ -55,7 +56,8 @@ ppd_ribbon_grouped(
   prob = 0.5,
   prob_outer = 0.9,
   alpha = 0.33,
-  size = 0.25
+  size = NULL,
+  linewidth = 0.25
 )
 
 ppd_intervals_data(
@@ -94,13 +96,15 @@ is missing or \code{NULL} then the observation index is used for the x-axis.}
 probability mass to include in the inner and outer intervals. The defaults
 are \code{prob=0.5} and \code{prob_outer=0.9}.}
 
-\item{alpha, size, fatten, linewidth}{Arguments passed to geoms. For ribbon
-plots \code{alpha} is passed to \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}} to control the opacity
-of the outer ribbon and \code{size} is passed to \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}} to
-control the size of the line representing the median prediction (\code{size=0}
-will remove the line). For interval plots \code{alpha}, \code{size}, \code{fatten}, and
-\code{linewidth} are passed to \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}} (\code{fatten=0} will
-remove the point estimates).}
+\item{alpha, size, linewidth}{Arguments passed to geoms. For ribbon plots
+\code{alpha} is passed to \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}} to control the opacity of the
+outer ribbon and \code{linewidth} is passed to \code{\link[ggplot2:geom_path]{ggplot2::geom_line()}} to control
+the width of the line representing the median prediction (\code{linewidth=0}
+will remove the line). For interval plots \code{alpha}, \code{size}, and \code{linewidth}
+are passed to \code{\link[ggplot2:geom_linerange]{ggplot2::geom_pointrange()}} where \code{size} controls the point
+size and \code{linewidth} controls the line width.}
+
+\item{fatten}{Deprecated. Point size is now controlled directly by \code{size}.}
 
 \item{group}{A grouping variable of the same length as \code{y}.
 Will be coerced to \link[base:factor]{factor} if not already a factor.
@@ -133,12 +137,12 @@ x <- example_x_data()
 group <- example_group_data()
 
 ppd_intervals(ypred[, 1:50])
-ppd_intervals(ypred[, 1:50], fatten = 0)
-ppd_intervals(ypred[, 1:50], fatten = 0, linewidth = 2)
-ppd_intervals(ypred[, 1:50], prob_outer = 0.75, fatten = 0, linewidth = 2)
+ppd_intervals(ypred[, 1:50], size = 0)
+ppd_intervals(ypred[, 1:50], size = 0, linewidth = 2)
+ppd_intervals(ypred[, 1:50], prob_outer = 0.75, size = 0, linewidth = 2)
 
 # put a predictor variable on the x-axis
-ppd_intervals(ypred[, 1:100], x = x[1:100], fatten = 1) +
+ppd_intervals(ypred[, 1:100], x = x[1:100], size = 1) +
   ggplot2::labs(y = "Prediction", x = "Some variable of interest")
 
 # with a grouping variable too
@@ -146,16 +150,15 @@ ppd_intervals_grouped(
   ypred = ypred[, 1:100],
   x = x[1:100],
   group = group[1:100],
-  size = 2,
-  fatten = 0,
+  size = 0,
   facet_args = list(nrow = 2)
 )
 
 # even reducing size, ppd_intervals is too cluttered when there are many
 # observations included (ppd_ribbon is better)
-ppd_intervals(ypred, size = 0.5, fatten = 0.1, linewidth = 0.5)
+ppd_intervals(ypred, size = 0.1, linewidth = 0.5)
 ppd_ribbon(ypred)
-ppd_ribbon(ypred, size = 0) # remove line showing median prediction
+ppd_ribbon(ypred, linewidth = 0) # remove line showing median prediction
 
 }
 \references{
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-linewidth-alpha.svg
similarity index 99%
rename from tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-size-alpha.svg
rename to tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-linewidth-alpha.svg
index 45e221ea..54d55da0 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-size-alpha.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-grouped-linewidth-alpha.svg
@@ -128,6 +128,6 @@
 <text x='694.89' y='312.40' style='font-size: 9.10px; font-family: sans;' textLength='3.03px' lengthAdjust='spacingAndGlyphs'>r</text>
 <text x='697.92' y='312.40' style='font-size: 9.10px; font-family: sans;' textLength='5.06px' lengthAdjust='spacingAndGlyphs'>e</text>
 <text x='702.98' y='312.40' 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='248.18px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay_grouped (size, alpha)</text>
+<text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='278.60px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay_grouped (linewidth, alpha)</text>
 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-linewidth-alpha.svg
similarity index 98%
rename from tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg
rename to tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-linewidth-alpha.svg
index 761426e9..281c4ade 100644
--- a/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-size-alpha.svg
+++ b/tests/testthat/_snaps/ppc-censoring/ppc-km-overlay-linewidth-alpha.svg
@@ -68,6 +68,6 @@
 <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='187.32px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (size, alpha)</text>
+<text x='24.70' y='15.89' style='font-size: 14.40px; font-family: sans;' textLength='217.74px' lengthAdjust='spacingAndGlyphs'>ppc_km_overlay (linewidth, alpha)</text>
 </g>
 </svg>
diff --git a/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg b/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg
index 59b7bb7c..e1f17207 100644
--- a/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg
+++ b/tests/testthat/_snaps/ppc-discrete/ppc-bars-default.svg
@@ -37,12 +37,12 @@
 <line x1='388.00' y1='541.59' x2='388.00' y2='442.02' style='stroke-width: 2.13; stroke: #03396C; stroke-linecap: butt;' />
 <line x1='482.05' y1='556.04' x2='482.05' y2='506.26' style='stroke-width: 2.13; stroke: #03396C; stroke-linecap: butt;' />
 <line x1='576.10' y1='556.04' x2='576.10' y2='556.04' style='stroke-width: 2.13; stroke: #03396C; stroke-linecap: butt;' />
-<circle cx='105.84' cy='202.72' r='3.44' style='stroke-width: 1.55; stroke: #03396C; fill: #03396C;' />
-<circle cx='199.89' cy='202.72' r='3.44' style='stroke-width: 1.55; stroke: #03396C; fill: #03396C;' />
-<circle cx='293.94' cy='379.38' r='3.44' style='stroke-width: 1.55; stroke: #03396C; fill: #03396C;' />
-<circle cx='388.00' cy='491.80' r='3.44' style='stroke-width: 1.55; stroke: #03396C; fill: #03396C;' />
-<circle cx='482.05' cy='556.04' r='3.44' style='stroke-width: 1.55; stroke: #03396C; fill: #03396C;' />
-<circle cx='576.10' cy='556.04' r='3.44' style='stroke-width: 1.55; stroke: #03396C; fill: #03396C;' />
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index df089587..68fadadf 100644
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similarity index 99%
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rename to tests/testthat/_snaps/ppc-distributions/ppc-boxplot-alpha-linewidth.svg
index 9bb9d175..b3ca91fd 100644
--- a/tests/testthat/_snaps/ppc-distributions/ppc-boxplot-alpha-size.svg
+++ b/tests/testthat/_snaps/ppc-distributions/ppc-boxplot-alpha-linewidth.svg
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similarity index 99%
rename from tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-alpha-size.svg
rename to tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-alpha-linewidth.svg
index d2f94500..3d9e2b61 100644
--- a/tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-alpha-size.svg
+++ b/tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-alpha-linewidth.svg
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similarity index 99%
rename from tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-grouped-alpha-size.svg
rename to tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-grouped-alpha-linewidth.svg
index cae810c4..bb824f1c 100644
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+++ b/tests/testthat/_snaps/ppc-distributions/ppc-dens-overlay-grouped-alpha-linewidth.svg
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similarity index 99%
rename from tests/testthat/_snaps/ppc-distributions/ppc-ecdf-overlay-grouped-size-alpha.svg
rename to tests/testthat/_snaps/ppc-distributions/ppc-ecdf-overlay-grouped-linewidth-alpha.svg
index 456f6a56..22694952 100644
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similarity index 98%
rename from tests/testthat/_snaps/ppc-distributions/ppc-ecdf-overlay-size-alpha.svg
rename to tests/testthat/_snaps/ppc-distributions/ppc-ecdf-overlay-linewidth-alpha.svg
index 110688d4..8b37f9f4 100644
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similarity index 99%
rename from tests/testthat/_snaps/ppc-distributions/ppc-freqpoly-alpha-binwidth-size.svg
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index 6b4bd675..a079ce7b 100644
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similarity index 98%
rename from tests/testthat/_snaps/ppc-distributions/ppd-boxplot-alpha-size.svg
rename to tests/testthat/_snaps/ppc-distributions/ppd-boxplot-alpha-linewidth.svg
index a73bf088..1abbd6e5 100644
--- a/tests/testthat/_snaps/ppc-distributions/ppd-boxplot-alpha-size.svg
+++ b/tests/testthat/_snaps/ppc-distributions/ppd-boxplot-alpha-linewidth.svg
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similarity index 99%
rename from tests/testthat/_snaps/ppc-distributions/ppd-dens-overlay-alpha-size.svg
rename to tests/testthat/_snaps/ppc-distributions/ppd-dens-overlay-alpha-linewidth.svg
index b7098aea..2eafcdd7 100644
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+++ b/tests/testthat/_snaps/ppc-distributions/ppd-dens-overlay-alpha-linewidth.svg
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similarity index 99%
rename from tests/testthat/_snaps/ppc-distributions/ppd-freqpoly-alpha-binwidth-size.svg
rename to tests/testthat/_snaps/ppc-distributions/ppd-freqpoly-alpha-binwidth-linewidth.svg
index 53968e83..1e913cdf 100644
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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 8ff083cb..5bba8442 100644
--- a/tests/testthat/_snaps/ppc-intervals/ppc-intervals-default.svg
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diff --git a/tests/testthat/_snaps/ppc-intervals/ppd-intervals-grouped-default.svg b/tests/testthat/_snaps/ppc-intervals/ppd-intervals-grouped-default.svg
index 4a443550..f770ecdd 100644
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+<rect x='658.82' y='279.44' width='15.73' height='15.73' style='stroke-width: 1.16; stroke: #011F4B; stroke-linecap: butt; fill: #FFFFFF;' />
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diff --git a/tests/testthat/_snaps/ppd-marginal/ppd-freqpoly-marginal.svg b/tests/testthat/_snaps/ppd-marginal/ppd-freqpoly-marginal.svg
index 56733a8b..5505aa82 100644
--- a/tests/testthat/_snaps/ppd-marginal/ppd-freqpoly-marginal.svg
+++ b/tests/testthat/_snaps/ppd-marginal/ppd-freqpoly-marginal.svg
@@ -28,7 +28,7 @@
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diff --git a/tests/testthat/test-ppc-censoring.R b/tests/testthat/test-ppc-censoring.R
index 2224df7b..c315e252 100644
--- a/tests/testthat/test-ppc-censoring.R
+++ b/tests/testthat/test-ppc-censoring.R
@@ -2,8 +2,8 @@ source(test_path("data-for-ppc-tests.R"))
 
 test_that("ppc_km_overlay returns a ggplot object", {
   skip_if_not_installed("ggfortify")
-  expect_gg(ppc_km_overlay(y, yrep, status_y = status_y, left_truncation_y = left_truncation_y, size = 0.5, alpha = 0.2, extrapolation_factor = Inf))
-  expect_gg(ppc_km_overlay(y, yrep, status_y = status_y, left_truncation_y = left_truncation_y, size = 0.5, alpha = 0.2, extrapolation_factor = 1))
+  expect_gg(ppc_km_overlay(y, yrep, status_y = status_y, left_truncation_y = left_truncation_y, linewidth = 0.5, alpha = 0.2, extrapolation_factor = Inf))
+  expect_gg(ppc_km_overlay(y, yrep, status_y = status_y, left_truncation_y = left_truncation_y, linewidth = 0.5, alpha = 0.2, extrapolation_factor = 1))
   expect_gg(ppc_km_overlay(y2, yrep2, status_y = status_y2))
 })
 
@@ -12,15 +12,15 @@ test_that("ppc_km_overlay_grouped returns a ggplot object", {
   expect_gg(ppc_km_overlay_grouped(y, yrep, group,
                                    status_y = status_y,
                                    left_truncation_y = left_truncation_y,
-                                   size = 0.5, alpha = 0.2))
+                                   linewidth = 0.5, alpha = 0.2))
   expect_gg(ppc_km_overlay_grouped(y, yrep, as.numeric(group),
                                    status_y = status_y,
                                    left_truncation_y = left_truncation_y,
-                                   size = 0.5, alpha = 0.2))
+                                   linewidth = 0.5, alpha = 0.2))
   expect_gg(ppc_km_overlay_grouped(y, yrep, as.integer(group),
                                    status_y = status_y,
                                    left_truncation_y = left_truncation_y,
-                                   size = 0.5, alpha = 0.2))
+                                   linewidth = 0.5, alpha = 0.2))
 
   expect_gg(ppc_km_overlay_grouped(y2, yrep2, group2,
                                    status_y = status_y2))
@@ -89,9 +89,9 @@ test_that("ppc_km_overlay renders correctly", {
     vdiff_y2,
     vdiff_yrep2,
     status_y = vdiff_status_y2,
-    size = 2,
+    linewidth = 2,
     alpha = .2)
-  vdiffr::expect_doppelganger("ppc_km_overlay (size, alpha)", p_custom)
+  vdiffr::expect_doppelganger("ppc_km_overlay (linewidth, alpha)", p_custom)
 
   p_base2 <- ppc_km_overlay(vdiff_y3, vdiff_yrep3, status_y = vdiff_status_y3)
   vdiffr::expect_doppelganger("ppc_km_overlay (default 2)", p_base2)
@@ -138,12 +138,12 @@ test_that("ppc_km_overlay_grouped renders correctly", {
     vdiff_yrep2,
     vdiff_group2,
     status_y = vdiff_status_y2,
-    size = 2,
+    linewidth = 2,
     alpha = .2
   )
 
   vdiffr::expect_doppelganger(
-    "ppc_km_overlay_grouped (size, alpha)",
+    "ppc_km_overlay_grouped (linewidth, alpha)",
     p_custom
   )
 
diff --git a/tests/testthat/test-ppc-discrete.R b/tests/testthat/test-ppc-discrete.R
index 8cd20f57..343d1429 100644
--- a/tests/testthat/test-ppc-discrete.R
+++ b/tests/testthat/test-ppc-discrete.R
@@ -147,12 +147,11 @@ test_that("ppc_bars renders correctly", {
     y = vdiff_y2,
     yrep = vdiff_yrep2,
     width = 0.5,
-    size = 0.5,
-    fatten = 5
+    size = 2.5
   )
 
   vdiffr::expect_doppelganger(
-    title = "ppc_bars (width, size, fatten)",
+    title = "ppc_bars (width, size)",
     fig = p_custom)
 
   p_custom_prob <- ppc_bars(
@@ -160,12 +159,11 @@ test_that("ppc_bars renders correctly", {
     yrep = vdiff_yrep2,
     prob = 0.33,
     width = 0.5,
-    size = 0.5,
-    fatten = 5
+    size = 2.5
   )
 
   vdiffr::expect_doppelganger(
-    title = "ppc_bars (prob=0.33, width, size, fatten)",
+    title = "ppc_bars (prob=0.33, width, size)",
     fig = p_custom_prob)
 })
 
diff --git a/tests/testthat/test-ppc-distributions.R b/tests/testthat/test-ppc-distributions.R
index c8e3faa5..e4cb3816 100644
--- a/tests/testthat/test-ppc-distributions.R
+++ b/tests/testthat/test-ppc-distributions.R
@@ -2,11 +2,11 @@ source(test_path("data-for-ppc-tests.R"))
 
 test_that("ppc_dens_overlay returns a ggplot object", {
   expect_gg(ppc_dens_overlay(y, yrep))
-  expect_gg(ppc_dens_overlay(y2, yrep2, size = 0.5, alpha = 0.2))
+  expect_gg(ppc_dens_overlay(y2, yrep2, linewidth = 0.5, alpha = 0.2))
 
   # ppd versions
   expect_gg(ppd_dens_overlay(yrep))
-  expect_gg(ppd_dens_overlay(yrep2, size = 0.5, alpha = 0.2))
+  expect_gg(ppd_dens_overlay(yrep2, linewidth = 0.5, alpha = 0.2))
 })
 
 test_that("density PPC/PPD plots accept bounds", {
@@ -42,11 +42,11 @@ test_that("density PPC/PPD plots reject invalid bounds", {
 })
 
 test_that("ppc_ecdf_overlay returns a ggplot object", {
-  expect_gg(ppc_ecdf_overlay(y, yrep, size = 0.5, alpha = 0.2))
+  expect_gg(ppc_ecdf_overlay(y, yrep, linewidth = 0.5, alpha = 0.2))
   expect_gg(ppc_ecdf_overlay(y2, yrep2))
 
   # ppd versions
-  expect_gg(ppd_ecdf_overlay(yrep, size = 0.5, alpha = 0.2))
+  expect_gg(ppd_ecdf_overlay(yrep, linewidth = 0.5, alpha = 0.2))
   expect_gg(ppd_ecdf_overlay(yrep2))
 })
 
@@ -74,7 +74,7 @@ test_that("ppc_dens,pp_hist,ppc_freqpoly,ppc_boxplot return ggplot objects", {
   expect_gg(ppc_dens(y, yrep[1:8, ]))
   expect_gg(ppc_dens(y2, yrep2))
 
-  expect_gg(ppc_freqpoly(y, yrep[1:8, ], binwidth = 2, size = 2, alpha = 0.1))
+  expect_gg(ppc_freqpoly(y, yrep[1:8, ], binwidth = 2, linewidth = 2, alpha = 0.1))
   expect_gg(ppc_freqpoly(y2, yrep2, binwidth = 0.1))
 
   expect_gg(ppc_boxplot(y, yrep[1,, drop = FALSE]))
@@ -95,7 +95,7 @@ test_that("ppc_dens,pp_hist,ppc_freqpoly,ppc_boxplot return ggplot objects", {
   expect_gg(ppd_dens(yrep[1:8, ]))
   expect_gg(ppd_dens(yrep2))
 
-  expect_gg(ppd_freqpoly(yrep[1:8, ], binwidth = 2, size = 2, alpha = 0.1))
+  expect_gg(ppd_freqpoly(yrep[1:8, ], binwidth = 2, linewidth = 2, alpha = 0.1))
   expect_gg(ppd_freqpoly(yrep2, binwidth = 0.1))
 
   expect_gg(ppd_boxplot(yrep[1,, drop = FALSE]))
@@ -279,10 +279,10 @@ test_that("ppc_freqpoly renders correctly", {
     y = vdiff_y,
     yrep = vdiff_yrep[1:8, ],
     binwidth = 2,
-    size = 2,
+    linewidth = 2,
     alpha = 0.1)
   vdiffr::expect_doppelganger(
-    title = "ppc_freqpoly (alpha, binwidth, size)",
+    title = "ppc_freqpoly (alpha, binwidth, linewidth)",
     fig = p_custom)
 
   # ppd versions
@@ -292,10 +292,10 @@ test_that("ppc_freqpoly renders correctly", {
   p_custom <- ppd_freqpoly(
     ypred = vdiff_yrep[1:8, ],
     binwidth = 2,
-    size = 2,
+    linewidth = 2,
     alpha = 0.1)
   vdiffr::expect_doppelganger(
-    title = "ppd_freqpoly (alpha, binwidth, size)",
+    title = "ppd_freqpoly (alpha, binwidth, linewidth)",
     fig = p_custom)
 })
 
@@ -323,8 +323,8 @@ test_that("ppc_boxplot renders correctly", {
   p_no_notch <- ppc_boxplot(vdiff_y, vdiff_yrep[1:8, ], notch = FALSE)
   vdiffr::expect_doppelganger("ppc_boxplot (no notch)", p_no_notch)
 
-  p_custom <- ppc_boxplot(vdiff_y, vdiff_yrep[1:8, ], size = 1.5, alpha = .5)
-  vdiffr::expect_doppelganger("ppc_boxplot (alpha, size)", p_custom)
+  p_custom <- ppc_boxplot(vdiff_y, vdiff_yrep[1:8, ], linewidth = 1.5, alpha = .5)
+  vdiffr::expect_doppelganger("ppc_boxplot (alpha, linewidth)", p_custom)
 
   # ppd versions
   p_base <- ppd_boxplot(vdiff_yrep[1:8, ])
@@ -333,8 +333,8 @@ test_that("ppc_boxplot renders correctly", {
   p_no_notch <- ppd_boxplot(vdiff_yrep[1:8, ], notch = FALSE)
   vdiffr::expect_doppelganger("ppd_boxplot (no notch)", p_no_notch)
 
-  p_custom <- ppd_boxplot(vdiff_yrep[1:8, ], size = 1.5, alpha = .5)
-  vdiffr::expect_doppelganger("ppd_boxplot (alpha, size)", p_custom)
+  p_custom <- ppd_boxplot(vdiff_yrep[1:8, ], linewidth = 1.5, alpha = .5)
+  vdiffr::expect_doppelganger("ppd_boxplot (alpha, linewidth)", p_custom)
 })
 
 test_that("ppc_dots renders correctly", {
@@ -384,12 +384,12 @@ test_that("ppc_ecdf_overlay renders correctly", {
   p_custom <- ppc_ecdf_overlay(
     vdiff_y2,
     vdiff_yrep2,
-    size = 2,
+    linewidth = 2,
     alpha = .2
   )
 
   vdiffr::expect_doppelganger(
-    "ppc_ecdf_overlay (size, alpha)",
+    "ppc_ecdf_overlay (linewidth, alpha)",
     p_custom
   )
 })
@@ -406,12 +406,12 @@ test_that("ppc_ecdf_overlay_grouped renders correctly", {
     vdiff_y2,
     vdiff_yrep2,
     vdiff_group2,
-    size = 2,
+    linewidth = 2,
     alpha = .2
   )
 
   vdiffr::expect_doppelganger(
-    "ppc_ecdf_overlay_grouped (size, alpha)",
+    "ppc_ecdf_overlay_grouped (linewidth, alpha)",
     p_custom
   )
 })
@@ -446,8 +446,8 @@ test_that("ppc_dens_overlay renders correctly", {
   p_base <- ppc_dens_overlay(vdiff_y, vdiff_yrep)
   vdiffr::expect_doppelganger("ppc_dens_overlay (default)", p_base)
 
-  p_custom <- ppc_dens_overlay(vdiff_y, vdiff_yrep, size = 1, alpha = 0.2)
-  vdiffr::expect_doppelganger("ppc_dens_overlay (alpha, size)", p_custom)
+  p_custom <- ppc_dens_overlay(vdiff_y, vdiff_yrep, linewidth = 1, alpha = 0.2)
+  vdiffr::expect_doppelganger("ppc_dens_overlay (alpha, linewidth)", p_custom)
 
   p_bounds <- suppressWarnings(ppc_dens_overlay(vdiff_y, vdiff_yrep, bounds = c(0, Inf)))
   suppressWarnings(vdiffr::expect_doppelganger("ppc_dens_overlay (bounds)", p_bounds))
@@ -456,8 +456,8 @@ test_that("ppc_dens_overlay renders correctly", {
   p_base <- ppd_dens_overlay(vdiff_yrep)
   vdiffr::expect_doppelganger("ppd_dens_overlay (default)", p_base)
 
-  p_custom <- ppd_dens_overlay(vdiff_yrep, size = 1, alpha = 0.2)
-  vdiffr::expect_doppelganger("ppd_dens_overlay (alpha, size)", p_custom)
+  p_custom <- ppd_dens_overlay(vdiff_yrep, linewidth = 1, alpha = 0.2)
+  vdiffr::expect_doppelganger("ppd_dens_overlay (alpha, linewidth)", p_custom)
 
   p_bounds <- suppressWarnings(ppd_dens_overlay(vdiff_yrep, bounds = c(0, Inf)))
   suppressWarnings(vdiffr::expect_doppelganger("ppd_dens_overlay (bounds)", p_bounds))
@@ -475,12 +475,12 @@ test_that("ppc_dens_overlay_grouped renders correctly", {
     vdiff_y,
     vdiff_yrep,
     vdiff_group,
-    size = 1,
+    linewidth = 1,
     alpha = 0.2
   )
 
   vdiffr::expect_doppelganger(
-    "ppc_dens_overlay_grouped (alpha, size)",
+    "ppc_dens_overlay_grouped (alpha, linewidth)",
     p_custom
   )
 })
diff --git a/tests/testthat/test-ppc-intervals.R b/tests/testthat/test-ppc-intervals.R
index e40b66fc..b7b81471 100644
--- a/tests/testthat/test-ppc-intervals.R
+++ b/tests/testthat/test-ppc-intervals.R
@@ -2,7 +2,7 @@ source(test_path("data-for-ppc-tests.R"))
 
 test_that("ppc_intervals returns ggplot object", {
   expect_gg(ppc_intervals(y, yrep))
-  expect_gg(ppc_intervals(y, yrep, size = 2, fatten = 1))
+  expect_gg(ppc_intervals(y, yrep, size = 2))
   expect_gg(ppc_intervals(y, yrep, x = seq(1, 2 * length(y), by = 2)))
   expect_gg(ppc_intervals(y2, yrep2))
 
@@ -13,7 +13,7 @@ test_that("ppc_intervals returns ggplot object", {
 
 test_that("ppc_ribbon returns ggplot object", {
   expect_gg(ppc_ribbon(y, yrep, prob = 0.5))
-  expect_gg(ppc_ribbon(y, yrep, alpha = 0, size = .5))
+  expect_gg(ppc_ribbon(y, yrep, alpha = 0, linewidth = .5))
   expect_gg(ppc_ribbon(y2, yrep2, x = rnorm(length(y2)), prob = 0.5))
 
   # ppd versions