print.epidemic: Prints an epidemict object

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Prints an object created by the SEIR.simulator simulation routine.

Usage

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	## S3 method for class 'epidemic'
print(x, ...)
	

Arguments

x

an object of class epidemic, produced from the SEIR.simulator simulation function.

...

other arguments to be passed to the print routine.

Details

Prints the epidemic inference object, including the exposure, infectious, and recovery times of each node in the epidemic.

Value

Strictly invoked for side effect.

Author(s)

Chris Groendyke cgroendyke@gmail.com, David Welch david.welch@auckland.ac.nz

References

Groendyke, C. and Welch, D. 2018. epinet: An R Package to Analyze Epidemics Spread across Contact Networks, Journal of Statistical Software, 83-11.

See Also

SEIR.simulator for simulating an epidemic, summary.epidemic for the summary method of an epidemic object, and plot.epidemic for plotting a visual display of the epidemic.

Examples

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# 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")
print(exampleepidemic)

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