From dcaaf35d6f8e557f2fee932be54471a5c7147b43 Mon Sep 17 00:00:00 2001
From: Gavin Simpson <ucfagls@gmail.com>
Date: Sat, 14 Dec 2024 18:00:20 +0100
Subject: [PATCH] bump version, document()

---
 DESCRIPTION | 5 +++--
 NAMESPACE   | 4 ++++
 NEWS.md     | 4 +++-
 3 files changed, 10 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 66c6e3fb..e34a835c 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,5 +1,5 @@
 Package: gratia
-Version: 0.9.2.9013
+Version: 0.9.2.9014
 Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
 Authors@R: c(person(given = "Gavin L.", family = "Simpson",
                     email = "ucfagls@gmail.com",
@@ -33,7 +33,8 @@ Imports:
     cli,
     nlme,
     ggokabeito,
-    withr
+    withr,
+    scales
 Suggests:
     gamm4,
     lme4,
diff --git a/NAMESPACE b/NAMESPACE
index 1729abd3..a3e2e1bc 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -418,7 +418,9 @@ export(variance_comp)
 export(vars_from_label)
 export(which_smooths)
 export(worm_plot)
+importFrom(cli,format_error)
 importFrom(cli,pluralize)
+importFrom(cli,qty)
 importFrom(cli,style_dim)
 importFrom(cli,symbol)
 importFrom(dplyr,"%>%")
@@ -533,6 +535,7 @@ importFrom(rlang,"!!")
 importFrom(rlang,"%||%")
 importFrom(rlang,":=")
 importFrom(rlang,.data)
+importFrom(rlang,abort)
 importFrom(rlang,dots_list)
 importFrom(rlang,enexpr)
 importFrom(rlang,enquo)
@@ -546,6 +549,7 @@ importFrom(rlang,has_name)
 importFrom(rlang,inject)
 importFrom(rlang,parse_expr)
 importFrom(rlang,set_names)
+importFrom(scales,ordinal_format)
 importFrom(stats,IQR)
 importFrom(stats,as.formula)
 importFrom(stats,binomial)
diff --git a/NEWS.md b/NEWS.md
index 5e294a0a..34fb832e 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -4,7 +4,9 @@
 
 * `conditional_values()` and its `draw()` method compute and plot predictions 
   from a fitted GAM that are conditional on one or more covariates. The 
-  function is a wrapper around `fitted_values()` but allows the user simple ways to specify which covariates to condition on and at what values those covariates should take. It provides similar functionality to
+  function is a wrapper around `fitted_values()` but allows the user simple ways
+  to specify which covariates to condition on and at what values those
+  covariates should take. It provides similar functionality to
   `marginaleffects::plot_predictions()`, but is simpler. See #300.
 
 * `penalty()` and `basis()` can now allow the smooth to be reparameterized such