R: Native GPU-Accelerated Simulation and Estimation of Network Models

# Native GPU-Accelerated Simulation and Estimation of Network Models

## Documentation for package ‘cusna’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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