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EasyABC (version 1.0)

EasyABC: performing efficient approximate Bayesian computation sampling schemes

Description

The package EasyABC enables to launch a series of simulations of a computer code from the R platform, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Four sequential sampling schemes and three coupled-to-MCMC schemes are implemented.

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Version

Install

install.packages('EasyABC')

Monthly Downloads

418

Version

1.0

License

GPL-3

Maintainer

Nicolas Dumoulin

Last Published

November 20th, 2012

Functions in EasyABC (1.0)

ABC_sequential

Sequential sampling schemes for ABC
EasyABC-package

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

Trait model for EasyABC tutorial
EasyABC-internal

Internal EasyABC objects
binary_model

Wrapper for a binary executable for non-parallel simulations
ABC_mcmc

Coupled to MCMC schemes for ABC
ABC_rejection

Rejection sampling scheme for ABC
binary_model_cluster

Wrapper for a binary executable for parallel simulations