Hello
I have followed the songbird tutorial (GitHub  biocore/songbird: Vanilla regression methods for microbiome differential abundance analysis) and generated the attached summarized results. Please, see below.
.I ran 3 models for this analysis: 1st) A null model, 2nd) a 2nd model containing few important variables, and a 3rd) full model containing all the important variables. It looks like my full model was the best, judging by the lowest cv_error, lowest loss, and highest PseudoQsquare compared to the 2nd model (incomplete model) vs Null.
However, I have few questions regarding the interpretation of the qbeta results.

What is the interpretation of the first line of qbeta plots? Can you please explain in simple terms the y and x axis? I think the xaxis are the â€śinteractionsâ€ť but I didnâ€™t quite understand the meaning of that in the tutorial.

How about the interpretation of the second line of qbeta plots containing the qbeta distributions? Are the numbers on the yaxis the interactions? What about the numbers in front of the distribution? The shape of the Fullmodel distribution seems normally distributed while the Null model or the incomplete model have several peaks. What does that tell you?
Thank you so much for your time and support!