summary.epidemic: Summarize simulated epidemic

In epinet: Epidemic/Network-Related Tools

Description

Prints a summary of an epidemic simulated by the SEIR.simulator simulation routine.

Usage

	## S3 method for class 'epidemic'
summary(object, ...)
	

Arguments

object	an object of class epidemic, produced from the SEIR.simulator function.
...	other arguments to be passed to the summary routine.

Details

Prints a summary of the simulated epidemic, including the number of individuals infected over the course of the epidemic, the number remaining susceptible throughout the epidemic, the total size of the population, and length of the epidemic.

Value

Strictly invoked for side effect.

Author(s)

Chris Groendyke [e-mail], David Welch [e-mail]

See Also

SEIR.simulator for simulating an epidemic, and plot.epidemic for plotting the simulated epidemic.

Examples

# Simulate an epidemic through a network of 30
set.seed(3)
N <- 30
# Build dyadic covariate matrix (X)
# Have a single covariate for overall edge density; this is the Erdos-Renyi model
nodecov <- matrix(1:N, nrow = N)
dcm <- BuildX(nodecov)
# Simulate network and then simulate epidemic over network
examplenet <- SimulateDyadicLinearERGM(N, dyadiccovmat = dcm, eta = -1.8)
exampleepidemic <- SEIR.simulator(examplenet, N = 30, 
    beta = 0.3, ki = 2, thetai = 5, latencydist = "gamma")
summary(exampleepidemic)

epinet documentation built on May 2, 2019, 3:37 p.m.