Function to estimate the transformation parameters for adjusting the pseudolikelihood function.
adjustPL(formula, aux.iters = 3000, noisy.nsim = 50, noisy.thin = 50,
ladder = 50, ...)count; Number of proposals before any MCMC sampling is done. See control.simulate.formula.
count; Number of TNT draws. See control.simulate.formula.
count; Number of proposals between sampled statistics. See control.simulate.formula.
count; Length of temperature ladder (>=3).
Additional arguments, to be passed to the ergm function. See ergm.
Bouranis, L., Friel, N., and Maire, F. (2017). Bayesian model selection for exponential random graph models via adjusted pseudolikelihoods. https://arxiv.org/abs/1706.06344