With a 5th and 95th quantile point estimates and optional lower and upper bounds, fit a poisson distribution, returning the parameters of the distribution.
fit_pois(low, high)
low | 5th quantile. |
---|---|
high | 95th quantile. |
A dataframe.
Other distribution fitting functions:
combine_lognorm_trunc()
,
combine_lognorm()
,
combine_norm()
,
fit_capabilities_geomean()
,
fit_capabilities()
,
fit_lognorm_trunc()
,
fit_lognorm()
,
fit_norm_trunc()
,
fit_scenarios_geomean()
,
fit_scenarios()
,
fit_threat_communities()
,
generate_cost_function()
,
lognormal_to_normal()
,
normal_to_lognormal()
fit_pois(low = 10, high = 50)#> # A tibble: 1 x 2 #> func lambda #> <chr> <dbl> #> 1 stats::rpois 0.11