Fit capability parameters via a geometric mean

Fit capability parameters via a geometric mean

fit_capabilities_geomean(capabilities_answers)

Arguments

capabilities_answers	Answers dataframe.

Value

A dataframe.

See also

Other distribution fitting functions: combine_lognorm_trunc(), combine_lognorm(), combine_norm(), fit_capabilities(), fit_lognorm_trunc(), fit_lognorm(), fit_norm_trunc(), fit_pois(), fit_scenarios_geomean(), fit_scenarios(), fit_threat_communities(), generate_cost_function(), lognormal_to_normal(), normal_to_lognormal()

Examples

data(mc_capability_answers)
fit_capabilities_geomean(mc_capability_answers)
#> # A tibble: 60 x 8
#>    capability_id   low  high func                  mean     sd   min   max
#>    <chr>         <dbl> <dbl> <chr>                <dbl>  <dbl> <dbl> <dbl>
#>  1 CAP-01          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  2 CAP-02          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  3 CAP-03          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  4 CAP-04          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  5 CAP-05          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  6 CAP-06          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  7 CAP-07          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  8 CAP-08          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#>  9 CAP-09          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#> 10 CAP-10          0.1   0.4 EnvStats::rnormTrunc 0.248 0.0920     0   100
#> # … with 50 more rows