wdelva/MABC: Approximate Bayesian Computation with MICE
MABC is an R package for calibrating stochastic simulation models to data. It implements a sequential Approximate Bayesian Computation method that employs MICE (Multivariate Imputation by Chained Equations) as an emulator to link model inputs to model outputs.
Getting started
Browse package contents
Package details |
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| Author | Wim Delva, Jonathan Dushoff |
| Maintainer | Wim Delva <DELVAW@sun.ac.za> |
| License | file LICENSE |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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