WOMBAT – A program for Mixed Model Analyses by Restricted Maximum Likelihood

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wombat:specialanalyses [2018/08/30]
kmeyer ["Single step" genomic BLUP]
wombat:specialanalyses [2025/11/12] (current)
kmeyer ["Single step" genomic BLUP]
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       * Iterative solutions are obtained using a pre-conditioned conjugate gradient algorithm with a choice of diagonal, block-diagonal of SSOR (default) preconditioning scheme.       * Iterative solutions are obtained using a pre-conditioned conjugate gradient algorithm with a choice of diagonal, block-diagonal of SSOR (default) preconditioning scheme.
   - A low RAM alternative is invoked via run option ''​----s2step'':​ This employs a PCG algorithm with diagonal preconditioner,​ using '​iteration on data' instead of in-core storage of the mixed model equations. \\ It requires pedigree information (to set up the inverse of the numerator relationship matrix) and the '​add-on'​ part in the combined relationship matrix, $ {\bf G}^{-1} - {\bf A}_{22}^{-1}$ as a ''​*.gin''​ file.   - A low RAM alternative is invoked via run option ''​----s2step'':​ This employs a PCG algorithm with diagonal preconditioner,​ using '​iteration on data' instead of in-core storage of the mixed model equations. \\ It requires pedigree information (to set up the inverse of the numerator relationship matrix) and the '​add-on'​ part in the combined relationship matrix, $ {\bf G}^{-1} - {\bf A}_{22}^{-1}$ as a ''​*.gin''​ file.
-  - Work in progress:  An implementation of the `super hybrid model' ​+  - Not operational:  An implementation of the `super hybrid model' ​
  
 ==== Genomic relationship matrices ==== ==== Genomic relationship matrices ====
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