| cusna-package | cusna: native GPU-accelerated stochastic actor-oriented models |
| alaam_mcmle | Maximum likelihood estimate of an ALAAM (MCMC-MLE) |
| alaam_mple | Autologistic actor attribute model by maximum pseudo-likelihood (ALAAM) |
| alaam_simulate | Simulate the actor attribute from an ALAAM (Gibbs sampler) |
| as.data.frame.cusna_fit | Fitted SAOM model |
| coef.cusna_fit | Fitted SAOM model |
| cusna | cusna: native GPU-accelerated stochastic actor-oriented models |
| cusna_abi_version | Native cusna engine: ABI version and CUDA availability |
| cusna_behavior_stats | Host behavior evaluation statistics |
| cusna_beh_effect | Specify SAOM model effects |
| cusna_effect | Specify SAOM model effects |
| cusna_fit | Fitted SAOM model |
| cusna_fran | Native simulation backend for RSiena's siena07() |
| cusna_gof_distribution | sienaGOF auxiliary distributions |
| cusna_has_cuda | Native cusna engine: ABI version and CUDA availability |
| cusna_interaction | Specify SAOM model effects |
| cusna_network_stats | Host network evaluation statistics (RSiena conventions) |
| cusna_rate_effect | Specify SAOM model effects |
| cusna_set_threads | Set the OpenMP thread count for the native CPU backend |
| ergm_mcmle | Maximum likelihood estimate of an ERGM (MCMC-MLE) |
| ergm_mple | Maximum pseudo-likelihood estimate (directed edges/mutual/ttriple demo) |
| ergm_simulate | Simulate networks from an ERGM (TNT sampler) |
| ergm_stats | Observed ERGM statistics of a network |
| ergm_term | Construct an ERGM term |
| mom_control | Method-of-Moments estimation of a SAOM |
| mom_estimate | Method-of-Moments estimation of a SAOM |
| mom_estimate_multinet | Multi-network co-evolution |
| print.alaam_mcmle | Maximum likelihood estimate of an ALAAM (MCMC-MLE) |
| print.alaam_mple | Autologistic actor attribute model by maximum pseudo-likelihood (ALAAM) |
| print.cusna_fit | Fitted SAOM model |
| print.ergm_mcmle | Maximum likelihood estimate of an ERGM (MCMC-MLE) |
| print.stergm_cmle | Separable temporal ERGM by conditional MLE (STERGM CMLE) |
| print.tergm_mple | Temporal ERGM by bootstrap pseudo-likelihood (btergm style) |
| saom_data | Create a SAOM data panel |
| saom_multinet_data | Multi-network co-evolution |
| stergm_cmle | Separable temporal ERGM by conditional MLE (STERGM CMLE) |
| summary.cusna_fit | Fitted SAOM model |
| tergm_mple | Temporal ERGM by bootstrap pseudo-likelihood (btergm style) |
| tergm_simulate | Simulate from a temporal ERGM (TNT sampler with a lagged network) |
| vcov.cusna_fit | Fitted SAOM model |