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tips:convergence_problems_rma

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tips:convergence_problems_rma [2020/05/29 18:52] – [Using rma.mv() for Model Fitting] Wolfgang Viechtbauertips:convergence_problems_rma [2022/03/26 14:50] (current) – Wolfgang Viechtbauer
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 ==== Maximum Likelihood Estimation ==== ==== Maximum Likelihood Estimation ====
  
-The examples above all involved the use of restricted maximum-likelihood (REML) estimation, which is the default for models fitted with the ''rma()'' and ''rma.mv()'' functions. Regular maximum likelihood (ML) estimation can be used with ''method="ML"''. Let's try this out with the data from the previous example.+The examples above all involved the use of restricted maximum likelihood (REML) estimation, which is the default for models fitted with the ''rma()'' and ''rma.mv()'' functions. Regular maximum likelihood (ML) estimation can be used with ''method="ML"''. Let's try this out with the data from the previous example.
  
 <code rsplus> <code rsplus>
tips/convergence_problems_rma.txt · Last modified: 2022/03/26 14:50 by Wolfgang Viechtbauer