The expected uniform distribution and an approximate confidence interval
is also shown. The confidence interval cannot be taken too seriously
as it is derived assuming the bins are independent (which they are not).
The `plot_ecdf()`

and `plot_ecdf_diff()`

plots provide better confidence interval
but are somewhat less interpretable. See `vignette("rank_visualizations")`

for
more details.

```
plot_rank_hist(
x,
variables = NULL,
bins = NULL,
prob = 0.95,
...,
parameters = NULL
)
```

- x
Object supporting the plotting method.

- variables
Names of variables to show

- bins
number of bins to be used in the histogram, if left unspecified, it is determined by

`guess_rank_hist_bins()`

.- prob
The width of the approximate confidence interval shown.

By default the support is for `SBC_results`

objects and data frames in the same
format as the `$stats`

element of `SBC_results`

.