phenoRegressor.rrBLUP.G: G-BLUP using rrBLUP library

In GROAN: Genomic Regression Workbench

G-BLUP using rrBLUP library

Description

This function implements G-BLUP using rrBLUP library. Not to be exported.

Usage

phenoRegressor.rrBLUP.G(phenotypes, covariances, extraCovariates = NULL, ...)

Arguments

phenotypes	phenotypes, a numeric array (n x 1), missing values are predicted
covariances	square matrix (n x n) of covariances.
extraCovariates	optional extra covariates set, one row per phenotype (n), one column per covariate (w). If NULL no extra covariates are considered.
...	extra parameters are passed to rrBLUP::mixed.solve

Value

The function returns a list with the following fields:

• predictions : an array of (k) predicted phenotypes

• hyperparams : named vector with the following keys: Vu, Ve, beta, LL

• extradata : list with information on trained model, coming from mixed.solve

GROAN documentation built on Nov. 28, 2022, 5:07 p.m.