The distribution of genetic variation among multiple traits is a key determinant of how a population will respond to selection (Lande, 1979; Schluter, 1996; Arnold et al., 2001). For the prediction of ...
The COV= option must be specified to compute an approximate covariance matrix for the parameter estimates under asymptotic theory for least-squares, maximum-likelihood, or Bayesian estimation, with or ...
Where can I find the random parameter matrix in MLwiN? How do I use this to work out the residual ('unexplained') variance at each level? Variances and covariances are stored in column c1096. (See ...
Where is the model fitting information stored in MLwiN? Parameter storage columns: MLwiN routinely stores the random parameter estimates in C1096 (for more information see the question ' Where can I ...
This section provides an overview of a likelihood-based approach to general linear mixed models. This approach simplifies and unifies many common statistical analyses, including those involving ...
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