Two-dimensional random-walk process
rw2
constructs a pomp object encoding a 2-D Gaussian random walk.
data
rw2(x1_0 = 0, x2_0 = 0, s1 = 1, s2 = 3, tau = 1, times = 1:100, t0 = 0)
x1_0, x2_0
: initial conditions (i.e., latent state variable values at the zero time t0
)s1, s2
: random walk intensitiestau
: observation error s.d.times
: observation timest0
: zero timeA pomp object containing simulated data.
The random-walk process is fully but noisily observed.
if (require(ggplot2)) { rw2() |> plot() rw2(s1=1,s2=1,tau=0.1) |> simulate(nsim=10,format="d") |> ggplot(aes(x=y1,y=y2,group=.id,color=.id))+ geom_path()+ guides(color="none")+ theme_bw() }
More examples provided with pomp
: blowflies
, childhood_disease_data
, compartmental_models
, dacca()
, ebola
, gompertz()
, ou2()
, pomp_examples
, ricker()
, verhulst()