readme.aireml
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
readme.aireml [2014/06/06 15:27] – [Options] ignacio | readme.aireml [2014/06/06 15:37] – [Options] ignacio | ||
---|---|---|---|
Line 80: | Line 80: | ||
Calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, | Calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, | ||
- | '' | + | '' |
- | '' | + | '' |
- | Each element of the function corresponds to (co)variances elements and could include any the random effects (G) and residual (R) (co)variances. | + | \\ |
+ | Each element of the function corresponds to (co)variances elements and could include any the random effects (G) and residual (R) (co)variances.\\ | ||
Notation is with reference to the effect and trait number:\\ | Notation is with reference to the effect and trait number:\\ | ||
- | '' | + | '' |
'' | '' | ||
- | OPTION se_covar_function P | + | Examples: |
+ | \\ | ||
+ | '' | ||
+ | |||
+ | '' | ||
+ | |||
+ | '' | ||
+ | |||
+ | 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 second function calculates the heritability for the direct component and the third the total heritability. | ||
< | < | ||
Set the number of samples to calculate SE for function of (co)variances.\\ | Set the number of samples to calculate SE for function of (co)variances.\\ |
readme.aireml.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1