Epidemic/Network-Related Tools
Build a dyadic covariate matrix (X)
Prints a transmission tree in Newick format.
Internal epinet Objects
Uses epidemic data to perform Bayesian inference on a contact network
Calculate the Effective Sample Size
Set control parameters for epinet MCMC algorithm
Plot the spread of an epidemic
Plot the spread of an epidemic
Prints an epidemict object
Print basic information about an epinet object
Set prior distributions and hyperparameters for epinet MCMC algorithm
Simulate an epidemic on a contact network
Simulates an ERGM network using given covariate values
Summarize simulated epidemic
Summarize posterior samples from epinet object
Writes posterior samples from an epinet object to an output file
A collection of epidemic/network-related tools. Simulates transmission of diseases through contact networks. Performs Bayesian inference on network and epidemic parameters, given epidemic data.