pbsSim: Simulate Three Species Dynamics via Hastings & Powell Model

In luke-a-rogers/pbsedm: An R package to implement some of the methods of empirical dynamic modelling

Simulate Three Species Dynamics via Hastings & Powell Model

Description

Simulate Three Species Dynamics via Hastings & Powell Model

Usage

pbsSim(
  length_out,
  time_step = 1,
  burn_steps = 10,
  x0 = 0.8,
  y0 = 0.2,
  z0 = 9,
  a1 = 5,
  a2 = 0.1,
  b1 = 2,
  b2 = 2,
  d1 = 0.4,
  d2 = 0.01
)

Arguments

length_out	[integer()] Time series length
time_step	[numeric()] Sample frequency relative to t = R0 * T
burn_steps	[integer()] Number of burn in steps
x0	[numeric()] Predator state variable.
y0	[numeric()] Prey state variable.
z0	[numeric()] Producer state variable.
a1	[numeric()] Parameter a1
a2	[numeric()] Parameter a2
b1	[numeric()] Parameter b1
b2	[numeric()] Parameter b2
d1	[numeric()] Parameter d1
d2	[numeric()] Parameter d2

Value

[matrix()] Time series as columns.

Examples

length_out <- 5000
time_step <- 1
burn_steps <- 5000
x0 <- 0.78
y0 <- 0.16
z0 <- 10.0
a1 <- 5.0
a2 <- 0.1
b1 <- 3.0
b2 <- 2.0
d1 <- 0.4
d2 <- 0.01

s1 <- pbsSim(
  length_out = length_out,
  time_step = time_step,
  burn_steps = burn_steps,
  x0 = x0,
  y0 = y0,
  z0 = z0,
  a1 = a1,
  a2 = a2,
  b1 = b1,
  b2 = b2,
  d1 = d1,
  d2 = d2)

luke-a-rogers/pbsedm documentation built on June 3, 2024, 5:20 a.m.