EpiModel/EasyABCMPI: Approximate Bayesian Computation for EpiModel on High-Performance Computing Clusters

Implementation of Approximate Bayesian Computation with Sequential Monte Carlo Methods (ABC-SMC) optimized for use with EpiModel R package epidemic simulations running on High-Performance Computing (HPC) cluster environments such as MPI and Slurm. This package uses AMC-SMC algorithms originally developed for the EasyABC R package.

Getting started

Package details

AuthorSamuel Jenness, with original ABC-SMC statistical algorithms based on the EasyABC R package (authors: Franck Jabot, Thierry Faure, Nicolas Dumoulin, and Carlo Albert).
MaintainerSamuel Jenness <samuel.m.jenness@emory.edu>
LicenseGPL-3
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("EpiModel/EasyABCMPI")
EpiModel/EasyABCMPI documentation built on Dec. 5, 2020, 8:43 p.m.