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--- readme.aireml [2014/11/25 11:32] – shogo
+++ readme.aireml [2016/05/29 11:49] – [Options] ignacio
@@ Line 88: / Line 88: @@
 <file>OPTION se_covar_function <label> <function></file>
-As an alternative of SE, 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.\\
+As an alternative of SE, calculate SD for function of (co)variances by repeated sampling of parameters estimates from their asymptotic multivariate normal distribution, following ideas presented by Meyer and Houle 2013.\\
 \\
 ''<label>''\\
@@ Line 96: / Line 96: @@
 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.\\
+Each term of the function corresponds to (co)variance elements and could include any random effects (G) 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 ''eff1'' and ''eff2'' and ''trt1'' and ''trt2'',\\
@@ Line 124: / Line 124: @@
 <file>OPTION samples_se_covar_function <n></file>
 Set the number of samples to calculate SE for function of (co)variances.\\
-default value 5000
+default value 10000
 <file>OPTION out_se_covar_function</file>
 Indicate to store in file samples of (co)variances function for postprocessing (histogram, etc.)