(This article was first published on R Tutorial, and kindly contributed to R-bloggers)
In our previous statistics tutorials, we have treated population parameters as fixed
values, and provided point estimates and confidence intervals for them. An
alternative approach is the Bayesian statistics. It treats population parameters as
random variables. Probability becomes a measure of our belief in possible outcomes.
With new tools like OpenBUGS, tackling new problems requires building new
models, instead of creating yet another R command.
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
