Hi again-
Clement, thanks very much for your response to my question a few days ago
and revised code for the simm.levy function.  Ultimately what I am aiming to
do is partition animal trajectories into distinct behavioural segments using
the functions modpartltraj, bestpartmod and partmod.ltraj.  In the function
mopartltraj one is required to define a reference model of animal movement
(argument called 'limod') to compare to a real trajectory (arguement 'tr').
The example 'limod' given with the functions assumes a fairly simplistic
normal distribution with different means for different behaviours.  However,
could the 'limod' argument be from a simulation of a movement process such
as a levy walk (simm.levy) or multi-variate Ornstein-Uhlenbeck Process
(simm.mou)?  The purpose being an investigation of the movement process that
underpins segmentation of the trajectory?

Thanks for helping me get my mind around this.

Best regards,

Tim

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