Description Usage Arguments Details References Examples
Minimize the negative log-likelihood for the BW.
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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 min(SL) |
lambda |
one numeric value for lambda |
parF |
list for fix parameter values, see default |
The mnllBW function uses an analytical solution to maximize the likelihood to estimate the parameters.
The nllBW 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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