Erlang Mixture distribution
Arguments
- shapes
Shape parameters, a trunc_erlangmix fit, or
NULL
as a placeholder.- scale
Common scale parameter, or
NULL
as a placeholder.- probs
Mixing probabilities, or
NULL
as a placeholder.
See also
Other Distributions:
Distribution
,
dist_bdegp()
,
dist_beta()
,
dist_binomial()
,
dist_blended()
,
dist_dirac()
,
dist_discrete()
,
dist_empirical()
,
dist_exponential()
,
dist_gamma()
,
dist_genpareto()
,
dist_lognormal()
,
dist_mixture()
,
dist_negbinomial()
,
dist_normal()
,
dist_pareto()
,
dist_poisson()
,
dist_translate()
,
dist_trunc()
,
dist_uniform()
,
dist_weibull()
Examples
params <- list(scale = 1.0, probs = list(0.5, 0.3, 0.2), shapes = list(1L, 2L, 3L))
dist <- dist_erlangmix(vector("list", 3L))
x <- dist$sample(20, with_params = params)
d_emp <- dist_empirical(x, positive = TRUE)
plot_distributions(
empirical = d_emp,
theoretical = dist,
with_params = list(
theoretical = params
),
.x = seq(1e-4, 5, length.out = 100)
)