EasyABC-package: EasyABC: performing efficient approximate Bayesian...

In EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes

EasyABC: performing efficient approximate Bayesian computation sampling schemes using R

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, three coupled-to-MCMC schemes and a Simulated Annealing scheme are implemented. EasyABC further enables to launch the simulations in parallel on multiple cores of a computer.

Details

Package: EasyABC Type: Package Version: 1.5.1 Date: 2022-09-21 License: GPL-3 LazyLoad: yes

Author(s)

Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert

See Also

ABC_rejection, ABC_sequential, ABC_mcmc, SABC, binary_model, binary_model_cluster

EasyABC documentation built on Sept. 22, 2022, 3:01 p.m.