Changed Values in Modeling with timeOmics

Analysis
1

So I have been using timeOmics and following the pipeline from the paper timeOmics: an R package for multi-omics longitudinal data integration. I was using modeling function for finding the best fit model and noticed that there were some changes with the values becoming negative. Is there any reason that is?

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2

Yes, it’s possible, and it could be due to scaling or modeling. This is particularly the case for linear models, where a straight line (y = a + bx) will predict negative y unless a > 0 and b = 0.