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 |