sample.z: Internal function to sample latent clusters
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

This function samples the latent z parameter within the Gibbs sampler. Calls on the SampleZAgg function written in C++. Not for calling directly by users.

1	sample.z(ntsegm, nbins, y, nmaxclust, phi, ltheta, zeroes, ndata.types)

`ntsegm`	numeric. The total number of time segments from all animal IDs.
`nbins`	numeric. A vector of the number of bins used to discretize each movement variable. These must be in the same order as the columns within `y`.
`y`	A list where each element stores separate aggregated count data per bin per time segment for each movement variable being analyzed. These are stored as matrices.
`nmaxclust`	numeric. A single number indicating the maximum number of clusters to test.
`phi`	A list where each element stores separate proportions per bin per time segment for each movement variable.
`ltheta`	A matrix storing the log-transformed values from the `theta` parameter.
`zeroes`	A list of arrays that contain only zero values which are three dimensional (ntsegm,nbins[i],nmaxclust).
`ndata.types`	numeric. The number of data streams being analyzed.