aireml: Estimate variance components via REML using AI

In timflutre/rutilstimflutre: Timothee Flutre's personal R code

Estimate variance components via REML using AI

Description

Given the MME components, estimate variance components by the AI algorithm. References are:

• Tsuruta, S. 2006. Estimation of Variance Components in Animal Breeding. The University of Georgia.

• Mrode, R.A. 2005. Linear Models for the Prediction of Animal Breeding Values. CAB International, Oxon, UK.

Usage

aireml(A, y, X, Z, initE, initU, verbose = 0)

Arguments

A	dditive relationship matrix
y	vector of responses
X	incidence matrix for fixed effects
Z	incidence matrix for random effects
initE	initial value for the residual variance
initU	initial value for the additive genetic variance
verbose	verbosity level (0/1/2)

Value

vector

Note

Last modified by Morota on April 8, 2010.

Author(s)

Goto Morota

timflutre/rutilstimflutre documentation built on Feb. 7, 2024, 8:17 a.m.