CCA with random effects model

Question

[leranwangcs]

Hi,

I'm trying to fit a CCA model with random effect, the formula should look like this:

~ A + B + C + (1|patient_ID)

But I cannot find any package support this. So far I have tried CCA(), capscale(), but it neither of the seems recognizing the formula with random effect.

So anyone knows what how to do this?

Thanks!

[dariober]

You may get (more) answers by positing on https://stats.stackexchange.com/. If you do make sure you mention here and there that you are cross-posting. Also, a bit of background of what you are trying to do would probably help.

[Chris Dean]

What is a CCA model with random effects?

[leranwangcs]

for example, without a random effect, the formula for a cca (Constrained Correspondence Analysis) model could be:

cca(y ~ x + z + k, data = df),

but if some samples are provided by same patients, I want to use the patient ID as the random effect to adjust for the grouped samples.

cca(y ~ x + z + k + (1|patient_ID), data = df)

In other models like mixed linear model, it allows for adding this random effect, but it seems cca() doesn't allow this.

If anyone knows any packages allows doing cca model with a random effect that would be great.