Description Usage Arguments Value
Markov Chain Monte Carlo sampler: using the differential evolution jump move (implementation of the Ter Braak differential evolution)
1 |
f |
a funtion to sample from |
max.iter |
the maximum number of function evaluations |
n.walkers |
the number of walkers (ensemble size) |
n.dim |
the number of parameters to sample |
init.range |
a matrix(nrow=n.dim, ncol=2) defying the initial range for all the parameters, every row of the matrix should contain the lower and the upper limit |
... |
all additional agruments of f |
List containing: samples[n.walkers,chain.length,n.dim] and $log.p[n.walkers,chain.length]
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