po <- ricker()
plot(po)
coef(po)
simulate(po) |> plot()
# takes too long for R CMD check
## generate a bifurcation diagram for the Ricker map
p <- parmat(coef(ricker()),nrep=500)
p["r",] <- exp(seq(from=1.5,to=4,length=500))
trajectory(
ricker(),
times=seq(from=1000,to=2000,by=1),
params=p,
format="array"
) -> x
matplot(p["r",],x["N",,],pch='.',col='black',
xlab=expression(log(r)),ylab="N",log='x')
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