Learn R Programming

EasyABC (version 1.5.2)

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.

Copy Link

Version

Install

install.packages('EasyABC')

Monthly Downloads

418

Version

1.5.2

License

GPL-3

Maintainer

Nicolas Dumoulin

Last Published

January 5th, 2023

Functions in EasyABC (1.5.2)

binary_model

Wrapper for a binary executable for non-parallel simulations
SABC

Simulated Annealing approach to Approximate Bayesian Computation (SABC)
EasyABC-internal

Internal EasyABC objects
ABC_emulation

Rejection sampling scheme for ABC using an emulator
EasyABC-package

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

Coupled to MCMC schemes for ABC
ABC_sequential

Sequential sampling schemes for ABC
ABC_rejection

Rejection sampling scheme for ABC
binary_model_cluster

Wrapper for a binary executable for parallel simulations