cholesky

(numeric - matrix) an object to apply this method, it could be non positive-definite matrices.

(<code>double</code>) Tolerance level, by default is 1e-10.

tolerance

Compute the Cholesky factorization of a non-real symmetric positive-definite square matrix.

Genomic selection and prediction models with the capacity to use multiple traits and environments, through ready-to-use Bayesian models. It consists a group of functions
that help to create regression models for some genomic models proposed by Montesinos-L<c3><b3>pez, et al. (2016) <doi:10.1534/g3.116.032359>
also in Montesinos-L<c3><b3>pez et al. (2018) <doi:10.1534/g3.118.200728> and Montesinos-L<c3><b3>pez et al. (2018) <doi:10.2134/agronj2018.06.0362>.

Luna-V<c3><a1>zquez Francisco J.

BMTME

Bayesian Multi-Trait Multi-Environment for Genomic Selection
Analysis

cholesky: Cholesky

Description

Usage

Arguments