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I'm using IPMs to do population viability analysis for the first time (I've done PVA with individual-based models before) and struggling a bit to understand how different sources of stochasticity can be included. I'm using a stochastic IPM with parameter selection and random environmental states for each year. The pop_state vector will be different for every run, but this is entirely due to environmental stochasticity. Is there a way to include demographic stochasticity in an IPM with ipmr?
I saw the suggestion in Ellner, Childs, and Rees section 10.3 to do something like rpois(length(nt), K %*% nt), but I'm not sure if this is appropriate or something that can be implemented in ipmr.
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I'm using IPMs to do population viability analysis for the first time (I've done PVA with individual-based models before) and struggling a bit to understand how different sources of stochasticity can be included. I'm using a stochastic IPM with parameter selection and random environmental states for each year. The
pop_state
vector will be different for every run, but this is entirely due to environmental stochasticity. Is there a way to include demographic stochasticity in an IPM withipmr
?I saw the suggestion in Ellner, Childs, and Rees section 10.3 to do something like
rpois(length(nt), K %*% nt)
, but I'm not sure if this is appropriate or something that can be implemented inipmr
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