I have a df containing samples of a time varying quantity (namely, exposure to electromagnetic field generated by a GSM station), and I use the mixtools package to find a fitting mixture model (tipically, a 2- or 3-component guassian mixture) because I assume that (or rather, want to test if) samples come from different pdf's based on the hour of the day (e.g., with larger mean during peak hours and lower ones during off-peak hours).
It seems to me that normalmixEM function included in the package does not return any threshold values that can be used to assign samples to the various distributions: how can I achieve that?
Should that function be unavailable in the mixtools package, could you please point me to a more general tool that would help me clustering values, also considering that it should make its own initial guess of the threshold values?
Many thanks! Nicola