Mixture Distributions

Examples

use rand_distr::{Distribution, Normal};
use mix_distribution::Mix;

let mut rng = rand::thread_rng();

// Mixture of two distributions
let mix = {
    let dists = vec![
        Normal::new(0.0, 1.0).unwrap(),
        Normal::new(1.0, 2.0).unwrap(),
    ];
    let weights = &[2, 1];
    Mix::new(dists, weights).unwrap()
};
mix.sample(&mut rng);

// Mixture of three distributions
let mix = {
    let dists = vec![
        Normal::new(0.0, 1.0).unwrap(),
        Normal::new(1.0, 2.0).unwrap(),
        Normal::new(-1.0, 1.0).unwrap(),
    ];
    let weights = &[2, 1, 3];
    Mix::new(dists, weights).unwrap()
};
mix.sample(&mut rng);

// From iterator over (distribution, weight) pairs
let mix = Mix::with_zip(vec![
    (Uniform::new_inclusive(0, 0), 2),
    (Uniform::new_inclusive(1, 1), 1),
])
.unwrap();
mix.sample(&mut rng);

License

Copyright 2018 Hidehito Yabuuchi <hdht.ybuc@gmail.com>

Licensed under the MIT license <LICENSE-MIT or http://opensource.org/licenses/MIT>, or the Apache License, Version 2.0 <LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0> at your option. All files in the project carrying such notice may not be copied, modified, or distributed except according to those terms.