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Calculates the Q probability, representing the pull to the target. The number of steps on which the Q prob will be quantified is number of total segments less than one (the last step is defined by the target itself).
qProb.3d(sim, n.locs, parallel = FALSE, maxBin = 25)
the result of sim.uncond.3d, or a data frame with at least x,y,z-coordinates, the arrival azimuth and the arrival gradient.
number of total segments to be modeled, the length of the desired conditional empirical random walk
logical: run computations in parallel (n-1 cores)? Or numeric: the number of nodes (maximum: n - 1 cores)
numeric scalar, maximum number of bins per dimension of the tld-cube (turnLiftStepHist)
A list containing the Q - tldCubes for every step
# NOT RUN { qProb.3d(niclas, 3) # }
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