  This Chapter, "A Guide to General-Purpose ABC Software", is to appear in the
forthcoming Handbook of Approximate Bayesian Computation (2018). We present
general-purpose software to perform Approximate Bayesian Computation (ABC) as
implemented in the R-packages abc and EasyABC and the c++ program ABCtoolbox.
With simple toy models we demonstrate how to perform parameter inference, model
selection, validation and optimal choice of summary statistics. We demonstrate
how to combine ABC with Markov Chain Monte Carlo and describe a realistic
population genetics application.
