readme.aireml
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readme.aireml [2014/07/10 13:25] – shogo | readme.aireml [2014/07/10 13:27] – shogo | ||
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Each term of the function corresponds to (co)variance elements and could include any random effects (G, PE, ...) and residual (R) (co)variances.\\ | Each term of the function corresponds to (co)variance elements and could include any random effects (G, PE, ...) and residual (R) (co)variances.\\ | ||
\\ | \\ | ||
- | Notation is with reference to the effect number and the trait number (G_eff1_eff2_trt1_trt2) that indicate the element of the (co)variance matrix for random effect '' | + | Notation is with reference to the effect number and the trait number (G_eff1_eff2_trt1_trt2) that indicate the element of the (co)variance matrix for random effect '' |
where '' | where '' | ||
'' | '' | ||
+ | \\ | ||
Several functions could be added, with one OPTION line per function.\\ | Several functions could be added, with one OPTION line per function.\\ | ||
\\ | \\ | ||
Examples:\\ | Examples:\\ | ||
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- | '' | + | '' |
- | '' | + | '' |
- | '' | + | '' |
- | '' | + | '' |
\\ | \\ | ||
The first function calculates the SD for the total variance for a maternal model with permanent maternal effect, where 2 and 3 are the effect number for the direct and maternal additive genetic effects respectively, | The first function calculates the SD for the total variance for a maternal model with permanent maternal effect, where 2 and 3 are the effect number for the direct and maternal additive genetic effects respectively, |
readme.aireml.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1