`R/openfair.R`

`compare_tef_vuln.Rd`

Composition function for use in `sample_lef`

. Given a count of
the number of threat events (TEF) and the level of vulnerability (as a
percentage), calculate how many of those become loss events (LEF).

`compare_tef_vuln(tef, vuln, n = NULL)`

- tef
Threat event frequency (n).

- vuln
Vulnerability (percentage).

- n
Number of samples to generate.

List containing samples (as a vector) and details (as a list).

Other OpenFAIR helpers:
`get_mean_control_strength()`

,
`openfair_tef_tc_diff_lm()`

,
`sample_diff()`

,
`sample_lef()`

,
`sample_lm()`

,
`sample_tc()`

,
`sample_vuln()`

,
`select_loss_opportunities()`

```
compare_tef_vuln(tef = 500, vuln = .25)
#> $samples
#> [1] 125
#>
#> $details
#> list()
#>
```