emreml | R Documentation |
Given the MME components, estimate variance components by the EM algorithm. References are:
Suzuki, M. 2007. Applied Animal Breeding & Genetics. Course Notes. Obihiro University of Agriculture and Veterinary Medicine.
Mrode, R.A. 2005. Linear Models for the Prediction of Animal Breeding Values. CAB International, Oxon, UK.
emreml(Ainv, y, X, Z, initE, initU, verbose = 0)
Ainv |
inverse of additive 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) |
vector
Unknown parents should be coded as zero. Last modified by Morota on April 8, 2010.
Goto Morota [aut], Timothee Flutre [ctb]
makeMmeElements
, makeMmeRhs
, makeMmeLhs
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.