Crate rrblup_rs 

rrblup-rs

Rust implementation of the R/rrBLUP package for mixed model analysis and genomic prediction.

Features

• mixed_solve - REML-based mixed model solver
• a_mat() - Additive relationship matrix from marker data
• kin_blup() - Genomic BLUP with kinship matrix

Example

use rrblup_rs::mixed_solve::{mixed_solve, MixedSolveOptions};

let y = vec![1.0, 2.0, 3.0, 4.0, 5.0];
let result = mixed_solve(&y, None, None, None, None).unwrap();
println!("Vu = {}, Ve = {}", result.vu, result.ve);

References

Endelman, J.B. 2011. Ridge regression and other kernels for genomic selection with R package rrBLUP. Plant Genome 4:250-255.

Re-exports

pub use mixed_solve::mixed_solve as mixed_solve_reml;

pub use mixed_solve::Method;

pub use mixed_solve::MixedSolveOptions;

pub use mixed_solve::MixedSolveResult;

pub use a_mat::a_mat;

pub use a_mat::AMatOptions;

pub use a_mat::AMatResult;

pub use a_mat::ImputeMethod;

pub use a_mat::ShrinkConfig;

pub use a_mat::ShrinkMethod;

pub use kin_blup::kin_blup;

pub use kin_blup::KinBlupData;

pub use kin_blup::KinBlupOptions;

pub use kin_blup::KinBlupResult;

Modules

a_mat

Additive relationship matrix computation from marker data. Rust implementation of R/rrBLUP::A.mat

kin_blup

Genomic BLUP with kinship matrix. Rust implementation of R/rrBLUP::kin.blup

mixed_solve

REML-based mixed model solver. Rust implementation of R/rrBLUP::mixed.solve