| BuildX | Build a dyadic covariate matrix (X) |
| epi2newick | Prints a transmission tree in Newick format. |
| epi2newickmcmc | Prints a transmission tree in Newick format. |
| epibayesmcmc | Uses epidemic data to perform Bayesian inference on a contact network |
| epinet | Uses epidemic data to perform Bayesian inference on a contact network |
| ess | Calculate the Effective Sample Size |
| HagellochDyadCov | Hagelloch measles data. |
| HagellochTimes | Hagelloch measles data. |
| MCMCcontrol | Set control parameters for epinet MCMC algorithm |
| plot.epidemic | Plot the spread of an epidemic |
| plot.epinet | Plot the spread of an epidemic |
| print.epidemic | Prints an epidemict object |
| print.epinet | Print basic information about an epinet object |
| priorcontrol | Set prior distributions and hyperparameters for epinet MCMC algorithm |
| SEIR.simulator | Simulate an epidemic on a contact network |
| SimulateDyadicLinearERGM | Simulates an ERGM network using given covariate values |
| summary.epidemic | Summarize simulated epidemic |
| summary.epinet | Summarize posterior samples from epinet object |
| write.epinet | Writes posterior samples from an epinet object to an output file |