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yer title=Choosing starting values for covariance components </texit> ====== Starting values for covariance components ====== To run WOMBAT, starting values for all matrices of covariance components are requi... erive reasonable starting values for the variance components from the remainder and our expectation of the pro

cient matrix in the MME when estimating variance components. If your aim is to obtain `adjustment factors' f... cts as a by-product of a run to estimate variance components, chances are that you have used the AI-REML algor... s to be at least equal to the number of principal components fitted.\\ During estimation, WOMBAT constrains es

atex>{\boldmath\theta}</latex> (i.e. (co)variance components or functions of such components) and their REML e... Tests for Inference on Variance Components}, journal = {Biometrics}, volume = 59, nu... bution of Likelihood Ratio Tests to Test Variance Components}, journal = {Twin Res. Hum. Genet.}, volum

timate the additive genetic and residual variance components and calculate the heritability of the trait from ... nts. * Lines 16 to 19 finally give the variance components to be estimated and the starting values to be use... Program WOMBAT : Estimates of covariance components =================================================

nce matrices specified rather than the covariance components themselves. This is sufficient to avoid problems ... For reduced rank analyses, omitting all principal components with small eigenvalues is generally sufficient to

ingValues|Choosing starting values for covariance components]] - [[wombat:RunTimeOptions|Using `advanced' ru