David,

I was stuck with a similar problem. I tried creating LUCC models and R
can't do the job in the required speed and or just stop working because of
lack of memory.
Problem with R is default type is double even for integers and this
behaviour will eat all memory very fast for 10⁶ agents, you need to think
about space where they "move/action" too. If you can afford huge memory
speed can be problematic too.
I switched to Netlogo for this type of model and the results are surprising
good. Memory can be a problem in Netlogo too but speed isn't.
There is another ABM softwares who can run on GPU and number of agents
aren't a problem.

Good luck



2013/4/30 David García Callejas <david.garcia.callejas@gmail.com>

> H
> ​i all,
>
> I am interested in performing a large-scale (10⁶-10⁸ agents)
> individual-based simulation in R. I have checked other options (NetLogo,
> Repast) and they either can't handle such quantities of agents or require
> deep knowledge of other programming languages. So I would like to know if
> there are any comprehensive packages optimized to perform IB simulations...
> I have heard about the "simecol" package, has anyone used it for
> large-scale simulations?
>
> Every suggestion is welcome, thanks
>
> David
>
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