Fit each of the threat communities to a distribution

fit_threat_communities(threat_communities)

Arguments

threat_communities

Dataframe of threat communities.

Value

A dataframe.

See also

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_scenarios, generate_cost_function, lognormal_to_normal, normal_to_lognormal

Examples

data(mc_threat_communities) fit_threat_communities(mc_threat_communities)
#> # A tibble: 8 x 12 #> threat_community threat_id definition category action_type threat_func #> <chr> <chr> <chr> <chr> <chr> <chr> #> 1 Technology Lead… TC-01 Technolog… employee error EnvStats::… #> 2 External Cyber … TC-02 Hackers o… external malicious EnvStats::… #> 3 Environmental TC-03 Natural d… natural geological EnvStats::… #> 4 Third Parties TC-04 Vendors a… external error EnvStats::… #> 5 Regulators or A… TC-05 Internal … external NA EnvStats::… #> 6 External Litiga… TC-06 Civil and… external competitive EnvStats::… #> 7 Organizational … TC-07 Internal … employee error EnvStats::… #> 8 Political Activ… TC-08 Terrorist… external malicious EnvStats::… #> # … with 6 more variables: threat_mean <dbl>, threat_sd <dbl>, #> # threat_min <dbl>, threat_max <dbl>, low <dbl>, high <dbl>