simulate_sc: Simulate from the self-correcting model

In ldmppr: Estimate and Simulate from Location Dependent Marked Point Processes

Simulate from the self-correcting model

Description

Allows the user to simulate a realization from the self-correcting model given a set of parameters and a point to condition on.

Usage

simulate_sc(
  t_min = 0,
  t_max = 1,
  sc_params = NULL,
  anchor_point = NULL,
  xy_bounds = NULL
)

Arguments

t_min	minimum value for time.
t_max	maximum value for time.
sc_params	vector of parameter values corresponding to (alpha_1, beta_1, gamma_1, alpha_2, beta_2, alpha_3, beta_3, gamma_3).
anchor_point	vector of (x,y) coordinates of point to condition on.
xy_bounds	a vector of domain bounds (2 for x, 2 for y).

Value

a list containing the thinned and unthinned simulation realizations.

Examples

# Specify the generating parameters of the self-correcting process
generating_parameters <- c(2, 8, .02, 2.5, 3, 1, 2.5, .2)

# Specify an anchor point
M_n <- matrix(c(10, 14), ncol = 1)

# Simulate the self-correcting process
generated_locs <- simulate_sc(
  t_min = 0,
  t_max = 1,
  sc_params = generating_parameters,
  anchor_point = M_n,
  xy_bounds = c(0, 25, 0, 25)
)

ldmppr documentation built on April 4, 2025, 12:45 a.m.