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EasyABC (version 1.5)

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

418

Version

1.5

License

GPL-3

Maintainer

Nicolas Dumoulin

Last Published

September 2nd, 2015

Functions in EasyABC (1.5)

binary_model_cluster

Wrapper for a binary executable for parallel simulations
SABC

Simulated Annealing approach to Approximate Bayesian Computation (SABC)
trait_model

Trait model for EasyABC tutorial
ABC_sequential

Sequential sampling schemes for ABC
binary_model

Wrapper for a binary executable for non-parallel simulations
ABC_emulation

Rejection sampling scheme for ABC using an emulator
ABC_rejection

Rejection sampling scheme for ABC
EasyABC-internal

Internal EasyABC objects
ABC_mcmc

Coupled to MCMC schemes for ABC
EasyABC-package

EasyABC: performing efficient approximate Bayesian computation sampling schemes using R