Description Usage Arguments Details Examples
This function returns the real dominant eigenvalue of a Matrix Population Model matrix. That is a real number that corresponds to the per-capita growth rate that a population approaches as time passes, in a model with no interactions.
1 | limiting.rate(mat)
|
mat |
a square matrix |
A structured population can grow at exactly this rate if the distribution between stages corresponds exactly to the distribution of the dominant eigenvector. The models that can be simulated by this package are of a class that always has a real dominant eigenvector. Note that these are continuous-time models, in which r > 0 means the population will grow, and r < 0 means it will decrease. This function doesn't throw errors, instead it returns 'NA'.
1 2 | mat <- mat.model.base(5)
limiting.rate(mat)
|
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