Parameters of mixing components can be overridden with
with_params = list(dists = list(..., ..., ...)).
#' Mixing probabilites can be overridden with
with_params = list(probs = list(..., ..., ...)).
The number of components cannot be overridden.
Usage
dist_mixture(dists = list(), probs = NULL)Arguments
- dists
A list of mixing distributions. May contain placeholders and duplicates.
- probs
A list of mixing probabilities with the same length as
dists. They are normalized to sum to one andNULLcan be used as a placeholder within probs. To reduce the number of required parameters, probs should at least be partly specified (probs = list(NULL, NULL, ..., 1)with k - 1NULLs where k is the number of mixing components).
Details
Does not support the quantile() capability!
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_negbinomial(),
dist_normal(),
dist_pareto(),
dist_poisson(),
dist_translate(),
dist_trunc(),
dist_uniform(),
dist_weibull()
Examples
# A complicated way to define a uniform distribution on \[0, 2\]
dist_mixture(
dists = list(
dist_uniform(min = 0, max = 1),
dist_uniform(min = 1, max = 2)
),
probs = list(0.5, 0.5)
)
#> A Mixture<UniformDistribution, UniformDistribution> with 0 dof