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

.

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

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.

## See also