Hello, It's not easy to express clearly what I have in mind by stochastic growth models. I've been working with a couple of titles -Stochastic Models in Biology, for one, but both date back a decade or more. I'll try to illustrate the model a little more. A reasonably comparable situation is Bolker's analysis of how many flowers are created on a given plant among a patch of plants, then comparing patches of plants at different locations. Then, I believe it's possible to determine the degree to which number of flowers appears to be dependent on other variables, like plant height, or root depth. Finally, I would like to add to these analyses, one which, having determined a stochastically(if I'm using this word correctly) distributed parameter for the average number of flowers on a plant from patch 1 as opposed to a plant from patch 2 (patch 1(N(mu, sigma)), patch 2(N(mu, sigma)),...) would constitute a growth model for each patch over time, I think maybe something like:
df(patch 1) =r1*f0+ exp^(r1*t) dt df(patch 2) =r2*f0+ exp^(r2*t) dt It would be nice to be able to add the other effects here: plant height, and others, as further parameters in each equation. I think it's likely these models have been done in biology, though I don't seem to find exactly how to do it in Bolker's book, and as a non-biologist, I 'm not sure where to look to find it. Maybe one can see that I'd like to be able to transfer this kind of model to use with other kinds of data from other fields! Again, I hope that some significant predictors like height and root length would help define a plant's likely number of flowers. There's a good basic outline of the model I'm trying to make( it is about bears populations changing over time): www.fish.washington.edu/.../Stochastic%20Population%20Models.ppt It's just that it seems someone else may have started a path in this direction in connection with R or another software, ... -s [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.