sim_agents_switch: A Function to simulate animal movement with an ABM with a...

In andyhoegh/moveR: Agent-Based Models for Animal Movement

Description

A Function to simulate animal movement with an ABM with a Markov switching process

Usage

sim_agents_switch(num_agents, time_points, mu_true, sigma_true,
  mu_theta_true, sigmasq_eps, sigmasq_eta, x_range, y_range, pi1, pi2)

Arguments

num_agents	The number of agents to simulate
time_points	The number of discrete time steps
mu_true	Vector with mean step size in truncated normal distribution
sigma_true	vector with the standard deviation of mean step size in truncated normal distribution
mu_theta_true	Vector for mean of multivariate normal (for projected normal distribution)
sigmasq_eps	Value for eps
sigmasq_eta	Value for eta
x_range	Range of x-values to simulate starting points of agents
y_range	Range of y-values to simulate starting points of agents
pi1	Vector with probability of moving from state 1 to states 1 and 2
pi2	Vector with probability of moving from state 2 to states 1 and 2

Value

list with z as an array of dimension (num_agents X time_points x 2) containing the agent locations and state a vector that denotes state

andyhoegh/moveR documentation built on Feb. 8, 2020, 11:20 p.m.