Error when using annotation_map_tile() layer. Package example plot returns error

[EllaSantanaPropper]

I noticed that the plots are no longer working if the layer annotation_map_tile is included in the code. To make sure it wasn't my data, I checked with the code example given on the ggspatial homepage (https://paleolimbot.github.io/ggspatial/).

The following code returns this error:
Error in annotation_map_tile():
! Problem while converting geom to grob.
ℹ Error occurred in the 1st layer.
Caused by error in loadNamespace():
! there is no package called 'prettymapr'

# Code from ggspatial package homepage demonstrating how it works

library(ggplot2)
library(ggspatial)
load_longlake_data()

ggplot() +
  # loads background map tiles from a tile source
  annotation_map_tile(zoomin = -1) +
  
  # annotation_spatial() layers don't train the scales, so data stays central
  annotation_spatial(longlake_roadsdf, size = 2, col = "black") +
  annotation_spatial(longlake_roadsdf, size = 1.6, col = "white") +
  
  # raster layers train scales and get projected automatically
  layer_spatial(longlake_depth_raster, aes(colour = after_stat(band1))) +
  # make no data values transparent
  scale_fill_viridis_c(na.value = NA) +
  
  # layer_spatial trains the scales
  layer_spatial(longlake_depthdf, aes(fill = DEPTH_M)) +
  
  # spatial-aware automagic scale bar
  annotation_scale(location = "tl") +
  
  # spatial-aware automagic north arrow
  annotation_north_arrow(location = "br", which_north = "true")

However, when I comment out the annotation_map_tile() layer, the plot does run, but obviously does not include a basemap:

ggplot() +
  # loads background map tiles from a tile source
  #annotation_map_tile(zoomin = -1) +
  
  # annotation_spatial() layers don't train the scales, so data stays central
  annotation_spatial(longlake_roadsdf, size = 2, col = "black") +
  annotation_spatial(longlake_roadsdf, size = 1.6, col = "white") +
  
  # raster layers train scales and get projected automatically
  layer_spatial(longlake_depth_raster, aes(colour = after_stat(band1))) +
  # make no data values transparent
  scale_fill_viridis_c(na.value = NA) +
  
  # layer_spatial trains the scales
  layer_spatial(longlake_depthdf, aes(fill = DEPTH_M)) +
  
  # spatial-aware automagic scale bar
  annotation_scale(location = "tl") +
  
  # spatial-aware automagic north arrow
  annotation_north_arrow(location = "br", which_north = "true")

I am using R version 4.4.2 "Pile of Leaves" and ggspatial 1.1.9