verhulst {pomp} | R Documentation |
verhulst
is a pomp
object encoding a univariate stochastic logistic model with measurement error.
data(verhulst)
The model is written as an Ito diffusion, dn = r n (1-n/K) dt + σ n dW, where W is a Wiener process.
It is implemented using the euler.simulate
plug-in.
pomp-class
and the vignettes
data(verhulst) plot(verhulst) coef(verhulst) params <- cbind( c(n.0=100,K=10000,r=0.2,sigma=0.4,tau=0.1), c(n.0=1000,K=11000,r=0.1,sigma=0.4,tau=0.1) ) x <- simulate(verhulst,params=params,states=TRUE) matplot(time(verhulst,t0=TRUE),t(x['n',,]),type='l') y <- trajectory(verhulst,params=params) matlines(time(verhulst,t0=TRUE),t(y['n',,]),type='l',lwd=2)