search for: bestmcmc

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2017 Jul 06
0
Bayes Factor
...# boxplot of the posteriors for the groups boxplot(as.matrix(mcmcOut2[,2:6])) # Show the HDIs summary(mcmcOut2) # Calculate the Bayes Factor competitionBayesOut # Pairwise "post hoc" tests library(rjags) library(BEST) # competitionare 'r5' vs. 'control' plot(BESTmcmc(competition[competition$clpping=="r5",2], competition[competition$clipping=="control",2])) # plot(BESTmcmc(competition[competition$clpping=="r10",2], competition[competition$clipping=="control",2])) # competitionare 'n10' vs. 'control' plo...