gof
(Package: hergm) :
Goodness-of-fit
The function gof.hergm assesses the goodness-of-fit of the model by generating posterior predictions based on a MCMC sample generated by function hergm .
● Data Source:
CranContrib
● Keywords:
● Alias: gof
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Internal hergm function.
● Data Source:
CranContrib
● Keywords: internal
● Alias: hergm.internal
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The function simulate.hergm simulates a network.
● Data Source:
CranContrib
● Keywords:
● Alias: simulate
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hergm.plot
(Package: hergm) :
Plot network and neighborhoods
The function hergm.plot plots the network and neighborhoods by exploiting posterior classification probabilities based on a MCMC sample generated by function hergm .
● Data Source:
CranContrib
● Keywords:
● Alias: hergm.plot
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The function mcmc.diagnostics helps assess the convergence of the Markov chain generated by function hergm .
● Data Source:
CranContrib
● Keywords:
● Alias: mcmc.diagnostics
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bali
(Package: hergm) :
Terrorist network behind Bali bombing in 2002
The network corresponds to the contacts between the 17 terrorists who carried out the bombing in Bali, Indonesia in 2002. The network is taken from Koschade (2006).
● Data Source:
CranContrib
● Keywords:
● Alias: bali
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example
(Package: hergm) :
Example network
Example data set: synthetic, undirected network with 15 nodes.
● Data Source:
CranContrib
● Keywords:
● Alias: example
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The function summary.hergm produces summaries of the MCMC sample.
● Data Source:
CranContrib
● Keywords:
● Alias: summary
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Hierarchical exponential-family random graph models with local dependence can be specified by calling the function hergm(formula) , where formula is a formula of the form network ~ terms . By specifying suitable terms, it is possible to specify a wide range of models: see hergm . hergm.terms can be found here. In addition, ergm.terms can be used to include covariates.
● Data Source:
CranContrib
● Keywords:
● Alias: hergm.terms
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hergm
(Package: hergm) :
Estimate and simulate hierarchical exponential-family random graph models with local dependence
The function hergm estimates and simulates three classes of hierarchical exponential-family random graph models:
● Data Source:
CranContrib
● Keywords:
● Alias: hergm
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