`fit_scenarios.Rd`

Given a set of subject matter expert estimates for the 5th and 95th quantiles of impact and frequency of contact for events, calculate the distribution parameters for TEF and LM. Use a truncated lognormal distribution for LM (losses cannot be infinite in size) and for the TEF.

fit_scenarios(responses, maximum_impact = Inf, maximum_impact_factor = 10, maximum_frequency_factor = 10)

responses | A |
---|---|

maximum_impact | The absolute maximum potential impact of any single loss event. |

maximum_impact_factor | Maximum impact factor - scaling factor of a SME's 95 percent maximum loss to limit the impact of any single event. |

maximum_frequency_factor | Maximum frequency factor - scaling factor at which to limit frequency of events. |

A dataframe.

Other distribution fitting functions: `combine_lognorm_trunc`

,
`combine_lognorm`

,
`combine_norm`

,
`fit_capabilities_geomean`

,
`fit_capabilities`

,
`fit_lognorm_trunc`

,
`fit_lognorm`

, `fit_norm_trunc`

,
`fit_pois`

,
`fit_scenarios_geomean`

,
`fit_threat_communities`

,
`generate_cost_function`

,
`lognormal_to_normal`

,
`normal_to_lognormal`

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