readme.aireml
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readme.aireml [2014/06/04 13:05] – [Options] ignacio | readme.aireml [2014/07/10 13:20] – shogo | ||
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+ | As an alternative of SE, calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, | ||
- | <file>samples_se_covar_function | + | '' |
+ | A name for a particular function (e.g., P1 for phenotypic variance of trait 1, H2_1 for heritability for trait 1, rg12 for genetic correlation between traits 1 and 2, …)\\ | ||
+ | '' | ||
+ | A formula to calculate a function of (co)variances to estimate SD. All terms of the function should be written with no spaces.\\ | ||
+ | \\ | ||
+ | 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 '' | ||
+ | '' | ||
+ | Several functions could be added, with one OPTION line per function. | ||
+ | Examples:\\ | ||
+ | \\ | ||
+ | '' | ||
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+ | '' | ||
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+ | '' | ||
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+ | '' | ||
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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, | ||
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+ | The second function calculates the heritability for the direct component. | ||
+ | |||
+ | The third function the total heritability. | ||
+ | |||
+ | The fourth function calculates the SD of the genetic correlation between traits 1 and 2 for the direct genetic effect (effect number 2) | ||
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+ | < | ||
+ | Set the number of samples to calculate SE for function of (co)variances.\\ | ||
+ | default value 5000 | ||
+ | < | ||
+ | Indicate to store in file samples of (co)variances function for postprocessing (histogram, etc.) |
readme.aireml.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1