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albopictus

Age-Structured Population Dynamics Model

Installation

The R package can be installed from the command line,

R CMD install albopictus_x.x.tar.gz

to be loaded easily at the R command prompt.

library(albopictus)

Usage

Generate a population with stochastic dynamics

s <- spop(stochastic=TRUE)

Add 1000 20-day-old individuals

add(s) <- data.frame(number=1000,age=20)

Iterate one day without death and assume development in 20 (+-5) days

iterate(s) <- data.frame(dev_mean=20,dev_sd=5,death=0)
print(developed(s))

Iterate another day assuming no development but age-dependent survival. Let each individual survive for 20 days (+-5)

iterate(s) <- data.frame(death_mean=20,death_sd=5,dev=0)
print(dead(s))

Note that the previous values of developed and dead will be overwritten by this command

Generate a deterministic population and observe the difference

s <- spop(stochastic=FALSE)
add(s) <- data.frame(number=1000,age=20)

iterate(s) <- data.frame(dev_mean=20,dev_sd=5,death=0)
print(developed(s))

iterate(s) <- data.frame(death_mean=20,death_sd=5,dev=0)
print(dead(s))

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.