Description Usage Arguments Value See Also Examples
View source: R/fit_distributions.R
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.
1 | fit_norm_trunc(low, high, min = 0, max = Inf)
|
low |
5th quantile. |
high |
95th quantile. |
min |
Lower bound of support. |
max |
Upper bound of support. |
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()
1 | fit_norm_trunc(low = 10, high = 50, min = 0, max = 100)
|
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