btergm (version 1.7.3)

checkdegeneracy: Degeneracy check for btergm and mtergm objects

Description

Assess degeneracy of btergm and mtergm models.

Usage

## S3 method for class 'mtergm':
checkdegeneracy(object, ...)
## S3 method for class 'btergm':
checkdegeneracy(object, nsim = 1000, 
    MCMC.interval = 1000, MCMC.burnin = 10000, verbose = FALSE)
## S3 method for class 'degeneracy':
print(x, ...)

Arguments

object

A btergm or mtergm object, as estimated using the btergm or mtergm function.

nsim

The number of networks to be simulated at each time step. This number should be sufficiently large for a meaningful comparison. If possible, much more than 1,000 simulations.

MCMC.burnin

Internally, this package uses the simulation facilities of the ergm package to create new networks against which to compare the original network(s) for goodness-of-fit assessment. This argument sets the MCMC burnin to be passed over to the simu

MCMC.interval

Internally, this package uses the simulation facilities of the ergm package to create new networks against which to compare the original network(s) for goodness-of-fit assessment. This argument sets the MCMC interval to be passed over to the si

verbose

Print details?

x

A degeneracy object created by the checkdegeneracy function.

...

Arbitrary further arguments.

Details

The methods for the generic degeneracy function implement a degeneracy check for btergm and mtergm objects. For btergm, this works by comparing the global statistics of simulated networks to those of the observed networks at each observed time step. If the global statistics differ significantly, this is indicated by small p-values. If there are many significant results, this indicates degeneracy. For mtergm, the mcmc.diagnostics function from the ergm package is used.

See Also

btergm-package btergm gof