Fit each of the threat communities to a distribution

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   low  high
#>   <chr>              <chr>     <chr>            <chr>    <chr>       <dbl> <dbl>
#> 1 Technology Leader… TC-01     Technology lead… employee error         0.4  0.8 
#> 2 External Cyber Ad… TC-02     Hackers or exte… external malicious     0.1  0.5 
#> 3 Environmental      TC-03     Natural disaste… natural  geological    0.2  0.8 
#> 4 Third Parties      TC-04     Vendors and oth… external error         0.3  0.6 
#> 5 Regulators or Aud… TC-05     Internal and ex… external NA            0.4  0.75
#> 6 External Litigants TC-06     Civil and crimi… external competitive   0.3  0.5 
#> 7 Organizational In… TC-07     Internal users … employee error         0.3  0.5 
#> 8 Political Activis… TC-08     Terrorists and … external malicious     0.3  0.5 
#> # … with 5 more variables: threat_func <chr>, threat_mean <dbl>,
#> #   threat_sd <dbl>, threat_min <dbl>, threat_max <dbl>