epinet (version 2.1.11)

Epidemic/Network-Related Tools

Description

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.

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Version

Install

install.packages('epinet')

Monthly Downloads

330

Version

2.1.11

License

GPL-2

Maintainer

Chris Groendyke

Last Published

November 29th, 2023

Functions in epinet (2.1.11)

plot.epinet

Plot the spread of an epidemic

MCMCcontrol

Set control parameters for epinet MCMC algorithm

ess

Calculate the Effective Sample Size

SimulateDyadicLinearERGM

Simulates an ERGM network using given covariate values

plot.epidemic

Plot the spread of an epidemic

priorcontrol

Set prior distributions and hyperparameters for epinet MCMC algorithm

BuildX

Build a dyadic covariate matrix (X)

epi2newick

Prints a transmission tree in Newick format.

SEIR.simulator

Simulate an epidemic on a contact network

epinet

Uses epidemic data to perform Bayesian inference on a contact network

epinet-internal

Internal epinet Objects

Hagelloch

Hagelloch measles data.

summary.epidemic

Summarize simulated epidemic

write.epinet

Writes posterior samples from an epinet object to an output file

print.epidemic

Prints an epidemict object

summary.epinet

Summarize posterior samples from epinet object

print.epinet

Print basic information about an epinet object