nalgebra-mvn

Multivariate normal distribution using nalgebra.

Example of usage

```rust use nalgebra::{ Vector2, Matrix2, MatrixMN, U2, U3}; use nalgebra_mvn::MultivariateNormal;

// specify mean and covariance of our multi-variate normal let mu = Vector2::fromrowslice(&[9.0, 1.0]); let sigma = Matrix2::fromrowslice( &[1.0, 0.0, 0.0, 1.0]);

let mvn = MultivariateNormal::frommeanand_covariance(&mu, &sigma).unwrap();

// input samples are row vectors vertically stacked let xs = MatrixMN::<_,U3,U2>::new( 8.9, 1.0, 9.0, 1.0, 9.1, 1.0, );

// evaluate the density at each of our samples. let result = mvn.pdf(&xs);

// result is a vector with num samples rows assert!(result.nrows()==xs.nrows()); ```

License

Licensed under either of

• Apache License, Version 2.0, (./LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (./LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

License: MIT/Apache-2.0