Number of Metropolis-Hastings steps per time step used in simulation. By default, this is determined adaptively by keeping track of increments in the Hamming distance between the transitioned-from network and the network being sampled. Once MCMC.burnin.min steps have elapsed, the increments are tested against 0, and when their average number becomes statistically indistinguishable from 0 (with the p-value being greater than MCMC.burnin.pval), or MCMC.burnin.max steps are proposed, whichever comes first, the simulation is stopped after an additional MCMC.burnin.add times the number of elapsed steps have been taken. (Stopping immediately would bias the sampling.)

To use a fixed number of steps, set MCMC.burnin.min and MCMC.burnin.max to the same value.

Hints and/or constraints for selecting and initializing the proposal.

Specifies the proposal weighting scheme to be used in the MCMC Metropolis-Hastings algorithm. Possible choices may be determined by calling ergm_proposal_table.

An alternative, direct way of specifying additional arguments to the proposal.

Maximum number of edges expected in network.

Maximum number of changes for which to allocate space.

A list of additional arguments to be passed to term initializers. It can also be set globally via options(ergm.term=list(...)).

Names of packages in which to look for change statistic functions in addition to those autodetected. This argument should not be needed outside of very strange setups.