Functions to define structured population models for simulation

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Description

Functions used as part of argument model to call simulation functions.

Usage

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Arguments

t

time

p

parameters, an array

x

state variable

X0

initial condition for class with delay

Details

State variable is population density.

Value

Rate of change or derivative of model. Except two.stage.x0 that returns distributed initial condition by allocation.

Note

Model functions are employed mainly to define the ODE to be simulated by sim, simd, simt and other simulation functions.

Nominal parameter values are defined in input files. Variation of param values are defined in lists.

Input files are in 'datafiles.zip' in directory 'datafiles' and organized by chapters of Acevedo (2012). Input files are required to run the examples below.

Author(s)

Miguel F. Acevedo Acevedo@unt.edu

References

Acevedo M.F. 2012. Simulation of Ecological and Environmental Models. CRC Press.

Lewis, E.R., 1977. Network Models in Population Biology. New York: Springer Verlag.

McDonald, N. 1978. Time Lags in Biological Models. New York: Springer Verlag.

See Also

Simulation functions sim.comp, sim.rnum, sim.mruns, sim, simd Methods euler, RK4

Examples

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## Not run: 
two.stage <-list(f=two.stage.cont)
param <- list(plab="b", pval = c(0.15,0.25,0.3,0.31))
t.X <- simt(two.stage,"chp10/two-stage-inp.csv", param,pdfout=TRUE)

two.stage.delay <-list(f=two.stage.cont.delay,x0=two.stage.x0)
param <- list(plab="nd", pval = c(2,5,6,7))
t.X <- simt(two.stage.delay,"chp10/two-stage-delay-inp.csv",
param,pdfout=TRUE)


## End(Not run)