# R: Gradient-function for Coyne et al's rabies model

coyne {epimdr} | R Documentation

## Gradient-function for Coyne et al's rabies model

### Description

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 epimdr version 0.6-4 Index]