R: Efficient Approximate Bayesian Computation Sampling Schemes

# Efficient Approximate Bayesian Computation Sampling Schemes

## Documentation for package ‘EasyABC’ version 1.6

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

ABC_emulation | Rejection sampling scheme for ABC using an emulator
ABC_mcmc | Coupled to MCMC schemes for ABC
ABC_rejection | Rejection sampling scheme for ABC
ABC_sequential | Sequential sampling schemes for ABC
binary_model | Wrapper for a binary executable for non-parallel simulations
binary_model_cluster | Wrapper for a binary executable for parallel simulations
SABC | Simulated Annealing approach to Approximate Bayesian Computation (SABC)
SABC.inf | Simulated Annealing approach to Approximate Bayesian Computation (SABC)
SABC.noninf | Simulated Annealing approach to Approximate Bayesian Computation (SABC)
trait_model | A stochastic individual-based model to demonstrate how the EasyABC functions can be used
trait_model_internal | A stochastic individual-based model to demonstrate how the EasyABC functions can be used