LVdata: Example simulated time courses from a stochastic...

In smfsb: Stochastic Modelling for Systems Biology

Example simulated time courses from a stochastic Lotka–Volterra model

Description

Collection of simulated time courses from a stochastic Lotka–Volterra model. LVperfect is direct output from a Gillespie simulation. LVprey is the prey component. LVnoise10 has Gaussian noise with standard deviation 10 added. LVnoise30 has Gaussian noise with standard deviation 30 added. LVpreyNoise10 is the prey component with 10 SD noise added. LVnoise3010 has Gaussian noise added. The noise added to the prey component has standard deviation 30 and the noise added to the predator component has standard deviation 10. LVnoise10scale10 has Gaussian noise with standard deviation 10 added, and is then rescaled by a factor of 10 to mimic a scenario of an uncalibrated measurement scale. LVirregular is direct output from a Gillespie simulator, but on an irregular time grid. LVirregularNoise10 is output on an irregular time grid with Gaussian noise of standard deviation 10 added.

Usage

data(LVdata)

Format

All datasets beginning LVirregular are R matrices such as output by simTimes, and the rest are R ts objects such as output by simTs.

smfsb documentation built on Jan. 13, 2024, 3:02 a.m.