simulateRicker: Simulate one or more time series from the stochastic Ricker...
In BruceKendall/PVA: Population viability analysis in R

Description Usage Arguments Details Value Examples

Simulate one or more time series from the stochastic Ricker model

1	simulateRicker(r, K, sigma2, N0, time_horizon, nsims = 1, keep_N0 = FALSE)

`r`	the low-density growth rate
`K`	the equilibrium density
`sigma2`	the variance of the log growth rates
`N0`	initial population size
`time_horizon`	number of years to simulate
`nsims`	number of simulations
`keep_N0`	(logical) whether to return `N0` at the beginning of the time series

This function simulates the Ricker discrete time model with environmental stochasticity, defined as follows

N(t+1) = N(t) exp[r (1 - N(t)/K) + ε(t)]

, where

ε(t) ~ Normal(0, σ)

If nsim=1 (the default), a vector of length time_horizon (or time_horizon+1 if keep_N0=TRUE) with the simulated abundances. Otherwise, a matrix with time_horizon (or time_horizon+1 if keep_N0=TRUE) rows and nsim columns.