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 |