| as_adjmat | An alternative to 'as.matrix' to retrieve adjacency matrix fast | 
| AVAILABLE_STATS | Count Network Statistics | 
| benchmarkito | Utility to benchmark expression in R | 
| blockdiagonalize | Block-diagonal models using 'ergm' | 
| check_convergence | Check the convergence of ergmito estimates | 
| check_support | Check the convergence of ergmito estimates | 
| count_stats | Count Network Statistics | 
| count_stats.formula | Count Network Statistics | 
| count_stats.list | Count Network Statistics | 
| ergmito | Estimation of ERGMs using Maximum Likelihood Estimation (MLE) | 
| ergmito_boot | Bootstrap of ergmito | 
| ergmito_formulae | Processing formulas in 'ergmito' | 
| ergmito_gof | Goodness of Fit diagnostics for ERGMito models | 
| ergmito_loglik | Processing formulas in 'ergmito' | 
| ergm_blockdiag | Block-diagonal models using 'ergm' | 
| exact_gradient | Vectorized calculation of ERGM exact log-likelihood | 
| exact_gradient.default | Vectorized calculation of ERGM exact log-likelihood | 
| exact_hessian | Vectorized calculation of ERGM exact log-likelihood | 
| exact_loglik | Vectorized calculation of ERGM exact log-likelihood | 
| exact_loglik.default | Vectorized calculation of ERGM exact log-likelihood | 
| extract.ergmito | Extract function to be used with the 'texreg' package. | 
| fivenets | Example of a group of small networks | 
| geodesic | Geodesic distance matrix (all pairs) | 
| geodesic.matrix | Geodesic distance matrix (all pairs) | 
| geodesic.network | Geodesic distance matrix (all pairs) | 
| geodesita | Geodesic distance matrix (all pairs) | 
| gof_ergmito | Goodness of Fit diagnostics for ERGMito models | 
| induced_submat | Extract a submatrix from a network | 
| is_directed | Utility functions to query network dimensions | 
| matrix_to_network | Manipulation of network objects | 
| matrix_to_network.matrix | Manipulation of network objects | 
| nedges | Utility functions to query network dimensions | 
| new_ergmito_ptr | Creates a new 'ergmito_ptr' | 
| new_rergmito | ERGMito sampler | 
| nnets | Utility functions to query network dimensions | 
| nvertex | Utility functions to query network dimensions | 
| plot.ergmito | Function to visualize the optimization surface | 
| plot.ergmito_gof | Goodness of Fit diagnostics for ERGMito models | 
| powerset | Power set of Graphs of size 'n' | 
| predict.ergmito | Prediction method for 'ergmito' objects | 
| rbernoulli | Random Bernoulli graph | 
| same_dist | Compare pairs of networks to see if those came from the same distribution | 
| simulate.ergmito | Draw samples from a fitted 'ergmito' model | 
| splitnetwork | Block-diagonal models using 'ergm' | 
| vcov.ergmito | Estimation of ERGMs using Maximum Likelihood Estimation (MLE) | 
| [.ergmito_sampler | ERGMito sampler |