Description Usage Arguments Details References Examples
Minimize the negative log-likelihood for the TLW.
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SL |
numeric vector containing the step lengths |
TA |
numeric vector containing the turning angles |
SLmin |
one numeric value representing the minimum step length, default is the min(SL) |
SLmax |
one numeric value representing the maximum step length, default is the max(SL) |
mu |
one numeric value for parameter |
parF |
list for fix parameter values, see default |
conts |
logical value stating whether to contrain mu between 1 and 3 (i.e. the values relevant for the Levy walk searching strategy) |
The mnllTLW function numerically minimeze the negative log likelihood to estimate the parameter mu. Note that the parameter value is constrained between 1 and 3.
The nllTLW function evaluates the negative log likelihood value.
Please refer to Auger-Methe, M., A.E. Derocher, M.J. Plank, E.A. Codling, M.A. Lewis (2015-In Press) Differentiating the Levy walk from a composite correlated random walk. Methods in Ecology and Evolution. Preprint available at http://arxiv.org/abs/1406.4355
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