simulateData: A function to simulate movement data
In tbonne/moveStan: Posterior checks for movement model building

This function allows you to simulate movement data, where an individual animal is influenced by an external influence. The strength of this influence can be set by the user.

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simulateData(nobs = 1000, ntracks = 10, meanStepLength = 2,
  sdStepLength = 0.25, influenceRange = 50, EffectStrength = 0.5,
  bearingSD = 5)

`nobs`	number of observations. Defaults to 1000.
`ntracks`	number of observed movement tracks. Defaults to 10.
`meanStepLength`	mean of step lengths from a lognormal distribution. Defaults to 2.
`sdStepLength`	sd of step lengths from a lognormal distribution. Defaults to 0.25.
`influenceRange`	range in which influence point is randomly assigned. Defaults to 50.
`EffectStrength`	strength of influence relative to directional persistance. Defaults to 0.5.
`bearingSD`	magnitude of error in directional persistance. Defaults to 5.