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readme.aireml [2014/06/06 15:38] – [Options] ignacioreadme.aireml [2014/07/08 19:36] shogo
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 Calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, following idea presented by Meyer and Houle 2013. Calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, following idea presented by Meyer and Houle 2013.
  
-''label'' given name for a particular function\\ +''<label>'' given name for a particular function\\ 
-''function'' function of (co)variances to estimate SD, all elements of the function should be written with no spaces.\\+''<function>'' function of (co)variances to estimate SD, all elements of the function should be written with no spaces.\\
 \\ \\
 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.\\
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 ''G_eff1_eff2_trt1_trt2'': indicate the element of the (co)variance matrix for random effect ''eff1'' and ''eff2'' and ''trt1'' and ''trt2'', where ''eff1'', ''eff2'' are the effect number, and ''trt1'' and ''trt2'' the trait number\\ ''G_eff1_eff2_trt1_trt2'': indicate the element of the (co)variance matrix for random effect ''eff1'' and ''eff2'' and ''trt1'' and ''trt2'', where ''eff1'', ''eff2'' are the effect number, and ''trt1'' and ''trt2'' the trait number\\
 ''R_trt1_trt1'': indicate the element of the residual (co)variance matrix for traits ''trt1'' and ''trt2'' ''R_trt1_trt1'': indicate the element of the residual (co)variance matrix for traits ''trt1'' and ''trt2''
 +
 +Several functions could be added, with one OPTION line per function.
  
 Examples:\\ Examples:\\
readme.aireml.txt · Last modified: 2024/03/25 18:22 by 127.0.0.1

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