fit_lognorm_trunc: Find parameters that fit quantile values of an unknown...

In collector: Quantified Risk Assessment Data Collection

Description

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

Usage

fit_lognorm_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

A dataframe.

See Also

Other distribution fitting functions: combine_lognorm_trunc(), combine_lognorm(), combine_norm(), fit_capabilities_geomean(), fit_capabilities(), 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

fit_lognorm_trunc(low = 10, high = 50, min = 0, max = 100)

collector documentation built on Feb. 22, 2020, 1:11 a.m.