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Last data update: 2014.03.03
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R: MCMC diagnostics
| mcmc.diagnostics | R Documentation |
MCMC diagnostics
Description
The function mcmc.diagnostics helps assess the convergence of the Markov chain generated by function hergm.
Usage
mcmc.diagnostics(sample = NULL,
...)
Arguments
sample |
MCMC sample generated by function hergm.
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... |
additional arguments, to be passed to lower-level functions in the future.
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Value
alpha |
MCMC diagnostics for the concentration parameter of truncated Dirichlet process prior of parameters of hergm-terms.
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eta_mean |
MCMC diagnostics for the mean parameters of Gaussian base distribution of parameters of hergm-terms.
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eta_precision |
MCMC diagnostics for the precision parameters of Gaussian base distribution of parameters of hergm-terms.
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hergm_theta |
MCMC diagnostics for the parameters of hergm-terms.
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See Also
hergm
Examples
## Not run:
data(example)
sample <- hergm(d ~ edges_ij + triangle_ijk)
mcmc.diagnostics.hergm(sample)
## End(Not run)
Results
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providing 
.