coyne {epimdr2} | R Documentation |
Edition 1 Gradient-function for Coyne et al's rabies model
Description
Edition 1 Gradient-function for Coyne et al's rabies model
Usage
coyne(t, logx, parms)
Arguments
t |
Implicit argument for time |
logx |
A vector with values for the log-states |
parms |
A vector with parameter values for the dynamical system |
Value
A list of gradients for the log system
Examples
require(deSolve)
times = seq(0, 50, by=1/520)
paras = c(gamma = 0.0397, b = 0.836, a = 1.34, sigma = 7.5,
alpha = 66.36, beta = 33.25, c = 0, rho = 0.8)
start = log(c(X=12.69/2, H1=0.1, H2=0.1, Y = 0.1, I = 0.1))
out = as.data.frame(ode(start, times, coyne, paras))
[Package epimdr2 version 1.0-9 Index]