POUMM (version 2.1.7)

rTrajectoryOU: Generation of a random trajectory of an OU process starting from a given initial state

Description

Generates a trajectory xt given initial state z0 according to an Ornstein-Uhlenbeck process.

Usage

rTrajectoryOU(z0, t, alpha, theta, sigma, steps = 1)

Arguments

z0

Numeric value, initial state.

t

Numeric value or vector of size steps, denoting the time-step(s).

alpha, theta, sigma

Numeric values, parameters of the OU process.

steps

Integer, number of steps.

Value

A numeric vector of length steps containing the generated values at times 0+t, 0+2t, ..., 0+steps*t.

Examples

# NOT RUN {
z0 <- 0
nSteps <- 100
t <- 0.01
trajectory <- rTrajectoryOU(z0, t, 2, 2, 1, steps = nSteps)
plot(trajectory, type = 'l')

# }