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EasyABC (version 1.6)

Efficient Approximate Bayesian Computation Sampling Schemes

Description

Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.

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Version

Install

install.packages('EasyABC')

Monthly Downloads

629

Version

1.6

License

GPL-3

Maintainer

Nicolas Dumoulin

Last Published

December 18th, 2025

Functions in EasyABC (1.6)

trait_model_internal

A stochastic individual-based model to demonstrate how the EasyABC functions can be used
SABC

Simulated Annealing approach to Approximate Bayesian Computation (SABC)
ABC_mcmc

Coupled to MCMC schemes for ABC
binary_model

Wrapper for a binary executable for non-parallel simulations
ABC_emulation

Rejection sampling scheme for ABC using an emulator
trait_model

A stochastic individual-based model to demonstrate how the EasyABC functions can be used
ABC_rejection

Rejection sampling scheme for ABC
EasyABC-package

EasyABC: performing efficient approximate Bayesian computation sampling schemes using R
binary_model_cluster

Wrapper for a binary executable for parallel simulations
ABC_sequential

Sequential sampling schemes for ABC