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EasyABC

Efficient Approximate Bayesian Computation Sampling Schemes

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.

Functions (10)

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

EasyABC-internal

Internal EasyABC objects

EasyABC-package

EasyABC: performing efficient approximate Bayesian computation sampling schemes using R

SABC

Simulated Annealing approach to Approximate Bayesian Computation (SABC)

binary_model

Wrapper for a binary executable for non-parallel simulations

binary_model_cluster

Wrapper for a binary executable for parallel simulations

trait_model

Trait model for EasyABC tutorial

EasyABC

Efficient Approximate Bayesian Computation Sampling Schemes

v1.5
GPL-3
Authors
Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert.
Initial release
2015-06-30

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