`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() #>