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--- readme.aireml [2014/11/25 11:29] – shogo
+++ readme.aireml [2015/09/08 05:43] – [Options] dani
@@ 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.\\
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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) 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 142: / Line 142: @@
 OPTION EM-REML xx
-where xx is the number of iterations for EM-REML you expect to get a good starting value for AI-REML.
+where xx is the number of iterations for EM-REML you expect to get a good starting value for AI-REML. After running xx rounds with EM-REML, the AIREMLF90 program will automatically switch from EM-REML to AI-REML using the last estimate from EM-REML as a starting value for AI-REML.