`R/fit_distributions.R`

`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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