openfair_tef_tc_diff_lm: Run an OpenFAIR simulation at the TEF/TC/DIFF/LM levels

In evaluator: Quantified Risk Assessment Toolkit

Description

Run an OpenFAIR model with parameters provided for TEF, TC, DIFF, and LM sampling. If there are multiple controls provided for the scenario, the arithmetic mean (average) is taken across samples for all controls to get the effective control strength for each threat event.

Usage

openfair_tef_tc_diff_lm(tef, tc, diff, lm, n = 10^4, verbose = FALSE)

Arguments

tef	Parameters for TEF simulation
tc	Parameters for TC simulation
diff	Parameters for DIFF simulation
lm	Parameters for LM simulation
n	Number of iterations to run.
verbose	Whether to print progress indicators.

Value

Dataframe of scenario name, threat_event count, loss_event count, mean TC and DIFF exceedance, and ALE samples.

See Also

Other OpenFAIR helpers: compare_tef_vuln(), get_mean_control_strength(), sample_diff(), sample_lef(), sample_lm(), sample_tc(), sample_vuln(), select_loss_opportunities()

Examples

data(mc_quantitative_scenarios)
params <- mc_quantitative_scenarios$scenario[[1]]$parameters
openfair_tef_tc_diff_lm(params$tef, params$tc, params$diff, params$lm, 10)

evaluator documentation built on July 6, 2021, 9:06 a.m.