dcEuler {sde}R Documentation

Approximated conditional law of a diffusion process

Description

Approximated conditional densities for X(t) | X(t0) = x0 of a diffusion process.

Usage

dcEuler(x, t, x0, t0, theta, d, s, log=FALSE)

Arguments

x vector of quantiles.
t lag or time.
x0 the value of the process at time t0; see details.
t0 initial time.
theta parameter of the process; see details.
log logical; if TRUE, probabilities p are given as log(p).
d drift coefficient as a function; see details.
s diffusion coefficient as a function; see details.

Details

This function returns the value of the conditional density of X(t) | X(t0) = x0 at point x.

The functions d and s must be functions of t, x, and theta.

Value

x a numeric vector

Author(s)

Stefano Maria Iacus


[Package sde version 2.0.4 Index]