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. 95th quantile. Lower bound of support. Upper bound of support.

## Value

Dataframe.

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