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