SimPredPreyFn: Simulate predator-prey data

Description Usage Arguments Value Author(s) Examples

View source: R/SimPredPreyFn.R

Description

This function simulates using a fifference equation approximation to Lotka-Volterra dynamics

Usage

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SimPredPreyFn(Nobs, Nt = 100, A = 0.04, B = 0.05, C = 0.2, E = 1)

Arguments

Nobs

Length of time series data vectors

Nt

Number of finite-difference approximations used between time series observations

A

Prey intrinsic growth rate

B

Prey mortality rate per capita due to per capita predation

C

Predator assimilation rate

E

Predator mortality rate

Value

List with observations for prey (X) and predator (Y)

Author(s)

James Thorson

Examples

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# Time series length
Nobs = 100

# Generate Lotka-Volterra timeseries
Y = SimPredPreyFn(Nobs=Nobs, Nt=100, A=0.4, B=0.5, C=0.2, E=1)$Y

nwfscNLTS documentation built on May 2, 2019, 4:31 p.m.