This package implements basic algorithms fo Approximate Bayesian Computing (ABC) in Julia.
Currently, it implements a single algorithm, ABC-PMC based on Beaumont et al. 2002 via abc_pmc_plan_type.

• Write more realistic examples, before finalizing interface
• Develope test cases
• Generalize to work with an abstract abc_plan_type
• Parallelize code
• Expand documentation
• Try to move GaussianMixtureModelCommonCovar to Distributions package
• Look into moving cov_weighted, ess (effective sample size) and calc_dist_ks to more general pacakges
• Implement additional ABC algorithms