# stochastic models for population growth

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## stochastic models for population growth

 Hello, Having measured two populations' characteristics at one particular time[with great precision] with R, I would like to extend this to measuring the same populations starting at t1, and then again at t2, and try to develop a growth model (something like dpop1/dt=r*pop^(...),dpop2/dt=r*pop^(...)). I think the idea is to create a model that will predict the growth of a population(N(mu, sigma)) within a margin of error. This kind of modeling isn't well known or publicized in terms of R, am I right? regards, s ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.
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## Re: stochastic models for population growth

 It's not too clear to me what you plan to do. You want to model population growth using a normal distribution? You should consider the classic differential equation of population growth and look at variants with species interaction. For modeling a single species you want to have dP/dt = r*P (r is rate of increase accounting for birth and death) which is P(t)=c1 e^(rt) (c1 you solve from your initial conditions) Then you can look to add a N(0,s) random component for If you want to do some competition for resources/predator-prey modeling there's already lots done on those. As far as an R library you can download and just enter a few parameters... I'm sure there's something in: http://cran.r-project.org/web/views/Environmetrics.htmlMichael D On Thu, Jan 20, 2011 at 23:57:18 -0800 (PST), Vassily Shvets < shv736_at_yahoo.com >wrote: > > Hello, > Having measured two populations' characteristics at one particular > time[with great precision] with R, I would like to extend this to measuring > the same populations starting at t1, and then again at t2, and try to > develop a growth model (something like > dpop1/dt=r*pop^(...),dpop2/dt=r*pop^(...)). I think the idea is to create a > model that will predict the growth of a population(N(mu, sigma)) within a > margin of error. This kind of modeling isn't well known or publicized in > terms of R, am I right? regards, > s         [[alternative HTML version deleted]] ______________________________________________ [hidden email] mailing list https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.