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.

1 |

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 Aug. 30, 2018, 5:04 p.m.

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