as_adjmat()
|
An alternative to as.matrix to retrieve adjacency matrix fast |
benchmarkito()
|
Utility to benchmark expression in R |
blockdiagonalize() splitnetwork() ergm_blockdiag()
|
Block-diagonal models using ergm |
check_support() check_convergence()
|
Check the convergence of ergmito estimates |
count_stats() AVAILABLE_STATS()
|
Count Network Statistics |
vcov(<ergmito>) ergmito()
|
Estimation of ERGMs using Maximum Likelihood Estimation (MLE) |
ergmito_boot()
|
Bootstrap of ergmito |
ergmito_formulae()
|
Processing formulas in ergmito |
gof_ergmito() plot(<ergmito_gof>)
|
Goodness of Fit diagnostics for ERGMito models |
exact_loglik() exact_gradient() exact_hessian()
|
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() geodesita()
|
Geodesic distance matrix (all pairs) |
induced_submat()
|
Extract a submatrix from a network |
matrix_to_network()
|
Manipulation of network objects |
new_ergmito_ptr()
|
Creates a new ergmito_ptr |
new_rergmito() `[`(<ergmito_sampler>)
|
ERGMito sampler |
nvertex() nedges() nnets() is_directed()
|
Utility functions to query network dimensions |
plot(<ergmito>)
|
Function to visualize the optimization surface |
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 |