Dear all, I am running matrix population models using package "popbio".
In a deterministic model {i.e., transition matrix is defined as A <- matrix(c(0.70, 0.70,0.35,0.50), nrow=2,byrow=TRUE}, population growth rate can be estimated from the dominant eigenvalue {command "eigen.analysis"}. However, I cannot figure out the way to compute the asymptotic stochastic population growth rate using “popbio”. I would like to perform a stochastic model in which my demographic rates are sampled from beta distribution with known mean and SD. For example, rather than 0.50 (4th term of my matrix), I want to sample this parameter from a beta function at each time-step {e.g., betaval(0.5, 0.05)}. Then I want to run the model for 1000 time steps (or more) and estimate the asymptotic stochastic growth rate. Is there a command that enable this kind of modelling? Thank you, Best wishes, Privalan -- View this message in context: http://www.nabble.com/stochastic-growth-rate-%28package-biopop%29-tp14800951p14800951.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.