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I am working on my thesis, where I am using network analysis to describe psychiatric disorders and their bridge symptoms using a network approach. The network is estimated using the IsingFit package.

Common practice in the field is calculating odd-ratios for the weighted edges. I am having trouble computing such odd-ratios, and even more trouble understanding how one would interpret them without their confidence intervals.

Can someone please help ? How can one obtain Odd-ratios for edges in a IsingFit estimated network ? The documentation is very light in regards to this subject.

Thank you to anyone willing to help !

I have tried exponentiating the weighted adjacency matrix obtained in the IsingFit network, which seems to work for OddRatios but I am not sure if that's the way to go. Plus, this fails to give any confidence interval.

Bioht
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    Welcome to SO. [Please see here on how to make a reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example); it's best to include any relevant code you've written and an accompanying dataset in your question. – jrcalabrese Jan 31 '23 at 17:30

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