pomp (version 2.4)

ricker: Ricker model with Poisson observations.

Description

ricker is a ‘pomp’ object encoding a stochastic Ricker model with Poisson measurement error.

Usage

ricker(r = exp(3.8), sigma = 0.3, phi = 10, c = 1, N_0 = 7)

Arguments

r

intrinsic growth rate

sigma

environmental process noise s.d.

phi

sampling rate

c

density dependence parameter

N_0

initial condition

Value

A ‘pomp’ object containing the Ricker model and simulated data.

Details

The state process is \(N_{t+1} = r N_{t} \exp(-c N_{t}+e_{t})\), where the \(e_t\) are i.i.d. normal random deviates with zero mean and variance \(\sigma^2\). The observed variables \(y_t\) are distributed as \(\mathrm{Poisson}(\phi N_t)\).

See Also

Other pomp examples: blowflies, dacca, ebola, gompertz, measles, ou2, rw2, sir_models, verhulst

Examples

# NOT RUN {
po <- ricker()
plot(po)
coef(po)
simulate(po) %>% plot()
# }