![]() ![]() ![]() To specify the half-Cauchy prior distribution with the RoBMA::prior() function we use a regular Cauchy distribution and truncate it at zero (note that both metaBMA and RoBMA export their own prior() functions that will clash when loading both packages simultaneously). We set the corresponding prior distributions for effect sizes ( \(\mu\)) and heterogeneity ( \(\tau\)), and remove the alternative prior distributions for the publication bias by setting priors_bias = NULL. Now we reproduce the analysis with RoBMA.
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