`get_mean_control_strength.Rd`

Given a set of estimation parameters, calculate control strength as the arithmetic mean of sampled control effectiveness.

get_mean_control_strength(n, diff_parameters)

n | Number of threat events to sample controls across. |
---|---|

diff_parameters | Parameters to pass to |

Vector of control effectiveness.

Other OpenFAIR helpers: `compare_tef_vuln`

,
`openfair_tef_tc_diff_lm`

,
`sample_diff`

, `sample_lef`

,
`sample_lm`

, `sample_tc`

,
`sample_tef`

, `sample_vuln`

,
`select_loss_opportunities`