ricker {pomp} | R Documentation |
ricker
is a ‘pomp’ object encoding a stochastic Ricker model
with Poisson measurement error.
ricker(r = exp(3.8), sigma = 0.3, phi = 10, c = 1, N_0 = 7)
r |
intrinsic growth rate |
sigma |
environmental process noise s.d. |
phi |
sampling rate |
c |
density dependence parameter |
N_0 |
initial condition |
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 Poisson(phi N[t]).
A ‘pomp’ object containing the Ricker model and simulated data.
Other pomp examples: blowflies
,
dacca
, ebola
,
gompertz
, measles
,
ou2
, rw2
,
sir_models
, verhulst
po <- ricker() plot(po) coef(po) simulate(po) %>% plot()