In brouwern/FACavian: An R implementation and extension of full-annual cycle (FAC) model of Runge & Marra *2005)

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The full-annual cycle (FAC) model of Runge and Marra (2004) is a density-dependent (dd) matrix model. The principal output of a density-dependent model is the equilibrium population size. An important issue with dd models is that you can typically only determine the equilibrium population size using numerical simulation. This means that you actually have to plug information -- particularly initial population sizes -- into the model and run it through many iterations and monitor the output until you see that it converges to a stable state. This is in contrast to traditional matrix models and their cousin, integral projection model (IPMs), which can be analyzed mathematically without specifying a starting population state or iterating the model (Footnote: assuming they are ergodic; Stott et al 2010 Method E&E)

brouwern/FACavian documentation built on March 23, 2022, 10:07 a.m.