# control.ergm: Auxiliary for Controlling ERGM Fitting In ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

## Description

Auxiliary function as user interface for fine-tuning 'ergm' fitting.

## Details

This function is only used within a call to the ergm() function. See the usage section in ergm() for details.

## Value

A list with arguments as components.

## References

• Snijders, T.A.B. (2002), Markov Chain Monte Carlo Estimation of Exponential Random Graph Models. Journal of Social Structure. Available from https://www.cmu.edu/joss/content/articles/volume3/Snijders.pdf.

• Firth (1993), Bias Reduction in Maximum Likelihood Estimates. Biometrika, 80: 27-38.

• Hunter, D. R. and M. S. Handcock (2006), Inference in curved exponential family models for networks. Journal of Computational and Graphical Statistics, 15: 565-583.

• Hummel, R. M., Hunter, D. R., and Handcock, M. S. (2012), Improving Simulation-Based Algorithms for Fitting ERGMs, Journal of Computational and Graphical Statistics, 21: 920-939.

• Kristoffer Sahlin. Estimating convergence of Markov chain Monte Carlo simulations. Master's Thesis. Stockholm University, 2011. https://www2.math.su.se/matstat/reports/master/2011/rep2/report.pdf

ergm(). The control.simulate function performs a similar function for simulate.ergm; control.gof performs a similar function for gof.