Find parameters that fit quantile values of an unknown truncated normal distribution

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