SetSim4M-class: An S4 class to hold model definition parameters for...

In lawlerem/markmodmover: Analyze animal movement data using the Markov-modulated movement model.

Description

An S4 class to hold model definition parameters for simulation.

Slots

Sim.Length

A positive integer giving the number of observations to simulate.

N.States

The number of states n used in the model.

Use.HMM

If TRUE fixes autocorrelation to zero.

Distribution

Distribution for step length. Can be one of gamma or log-normal.

Parameters

A named list giving the parameter values to simulate from:

Deflection.Angle.Parameters

A data.frame with columns Center and Concentration.

Step.Length.Parameters

A data.frame with columns Reversion.Level, Autocorrelation, and Standard.Deviation.

Transition.Probabilities

A square matrix of transition probabilities.

See Also

Other 4M-classes: Data4M-class, Model4M-class, SetModel4M-class, Simulate4M-class

lawlerem/markmodmover documentation built on Feb. 12, 2020, 8:30 p.m.