demc2: Adaptive MCMC on real parameter spaces via Differential...

Description Details References

Description

demc2 implements both the origal Markovian demc version of ter Braak (2006) and the egodic demc_zc version of ter Braak & Vrugt (2008) using learning from the past and the snooker update. Convergence can be checked with coda. The demc package allows restarts.

Details

The functions that you're likely need from demc are demc and demc_zs for generating samples and as.coda to be able to use package coda for convergence checks

References

ter Braak, C. J. F. (2006). A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces. Statistics and Computing, 16, 239-249.http://edepot.wur.nl/26336 ter Braak C. J. F., and Vrugt J. A. (2008). Differential Evolution Markov Chain with snooker updater and fewer chains. Statistics and Computing, 18 (4), 435-446. http://dx.doi.org/10.1007/s11222-008-9104-9


CajoterBraak/demc2 documentation built on Dec. 16, 2019, 10:48 p.m.