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