Calculates the ranges of summary statistics from the output of two or more runs of the MCMC algorithm.

## Arguments

- ...
Any

`EventsMCMC`

object.- positions
A

`numeric`

vector specifying the positions of the columns corresponding to the MCMC chains of interest, or a`character`

vector of column names.- level
A length-one

`numeric`

vector giving the confidence level.

## Value

A `data.frame`

.

## Details

This function is useful for estimating the sensitivity of calibration results to different model parameters.

## Examples

```
## Coerce to MCMC
eve <- as_events(events, calendar = "CE", iteration = 1)
## Returns 0's
sensitivity(eve, eve)
#> mad mean sd min q1 median q3 max lower upper
#> E1 0 0 0 0 0 0 0 0 0 0
#> E2 0 0 0 0 0 0 0 0 0 0
#> E3 0 0 0 0 0 0 0 0 0 0
#> E4 0 0 0 0 0 0 0 0 0 0
```