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epinet (version 2.1.11)

print.epidemic: Prints an epidemict object

Description

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

Usage

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

Value

Strictly invoked for side effect.

Arguments

x

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

...

other arguments to be passed to the print routine.

Author

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

Details

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

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

Run this code
# 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)

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