With a 5th and 95th quantile point estimates and optional lower and upper bounds, fit a truncated normal distribution, returning the parameters of the distribution.

fit_norm_trunc(low, high, min = 0, max = Inf)

Arguments

low

5th quantile.

high

95th quantile.

min

Lower bound of support.

max

Upper bound of support.

Value

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_pois, fit_scenarios_geomean, fit_scenarios, fit_threat_communities, generate_cost_function, lognormal_to_normal, normal_to_lognormal

Examples

fit_norm_trunc(low = 10, high = 50, min = 0, max = 100)
#> # A tibble: 1 x 5 #> func mean sd min max #> <chr> <dbl> <dbl> <dbl> <dbl> #> 1 EnvStats::rnormTrunc 29.5 12.4 0 100