See stats::Poisson
See also
Other Distributions:
Distribution
,
dist_bdegp()
,
dist_beta()
,
dist_binomial()
,
dist_blended()
,
dist_dirac()
,
dist_discrete()
,
dist_empirical()
,
dist_erlangmix()
,
dist_exponential()
,
dist_gamma()
,
dist_genpareto()
,
dist_lognormal()
,
dist_mixture()
,
dist_negbinomial()
,
dist_normal()
,
dist_pareto()
,
dist_translate()
,
dist_trunc()
,
dist_uniform()
,
dist_weibull()
Examples
d_pois <- dist_poisson(lambda = 5.0)
x <- d_pois$sample(100)
d_emp <- dist_empirical(x)
plot_distributions(
empirical = d_emp,
theoretical = d_pois,
estimated = d_pois,
with_params = list(
estimated = inflate_params(
fitdistrplus::fitdist(x, distr = "pois")$estimate
)
),
.x = 0:max(x)
)