Hi, I am doing Bayesian Calibration for a model which has 24 parameters using MCMC. I get a sample of 100,000 points from the posterior pdf. Let's say, It is a dataframe named as "BC_output", with 24 parameters (V1,V2,....V24) I would like to show the Maximum a Posteriori (MAP)parameter value of the model. Can I do it like this: For V1: density(BC_output$V1)$x[which.max(density(BC_output$V1)$y)] If not, what is the correct function to estimate a MAP value in R? Thanks a lot, Andy [[alternative HTML version deleted]]