About the model evaluation parameters

I am confused about the specific meaning of the model evaluation parameters, there are a few short handicaps do not know what the meaning, such as the following set of content:

Thanks! Can anybody giving a detailed explanation of the parameters?

sd is standard deviation

HPD… is the low and high boundaries of the (in your case 94%) highest probability density

mcse… I guess refers to Markov chain standard error

ESS is the effective sample size, apparently separated for the bulk and tail parts of the posterior

r_hat is the Gelman-Rubin convergence diagnostic

These are no detailed explanations… But it should help you find them.