Summarize the model parameters randomly sampled for probabilistic sensitivity
analysis with `eval_rng()`

.

```
# S3 method for class 'eval_rng'
summary(object, probs = c(0.025, 0.975), sep = "_", ...)
# S3 method for class 'eval_rng'
print(x, ...)
```

## Arguments

- object, x
An `eval_rng`

object.

- probs
A numeric vector of probabilities with values in `[0,1]`

used to
compute quantiles with `stats::quantile()`

.

- sep
When a list element returned by `eval_rng`

is a tabular object,
the parameter name is created by concatenating the name of the list element
with the columns of the tabular object. The `sep`

argument determines the
character string used to separate the terms.

- ...
For the print method, arguments to pass to `summary.eval_rng()`

.

## Value

`summary.eval_rng()`

returns a `data.table::data.table`

with columns for
(i) the name of the parameter (`param`

), (ii) the mean of the parameter
samples (`mean`

), (iii) the standard deviation of the parameter samples (`sd`

),
and (iv) quantiles of the parameter samples corresponding
to the `probs`

argument. `print.eval_rng()`

prints the output of
`summary.eval_rng()`

to the console.