amcdavid
commented
3 years ago There's not a method for it at the moment, but @.` and @.Residual` has what you need. Not the interpretation is a bit more complicated than the classical case because of the penalization but I expect they would still serve to compare between zlm models.
On Thu, Apr 15, 2021, 11:44 AM sofiapuvogelvittini @.***> wrote:
Hello MAST team, I am using MAST for my single cell data. I would like to make models comparisons based on daviance or AIC measurements, because I have different patients ralated variables that I should test if they should be included as fixed effect in the model.
My formula is the following
zlmCond<-MAST::zlm(~condition + cenegeneson + test_var1 + test_var2 + test_varx + (1|donor_id), data, method=´glmer´,ebayes=FALSE)
How could I obtain deviance or AIC measurements? I try to use deviance_residuals_hook(zlmCond) but it is deprecated in R 4.0
Could you help me please? Kind regards, Sofía
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sofiapuvogelvittini
Hello MAST team, I am using MAST for my single cell data. I would like to make models comparisons based on daviance or AIC measurements, because I have different patients ralated variables that I should test if they should be included as fixed effect in the model.
My formula is the following
zlmCond<-MAST::zlm(~condition + cenegeneson + test_var1 + test_var2 + test_varx + (1|donor_id), data, method=´glmer´,ebayes=FALSE)
How could I obtain deviance or AIC measurements? I try to use deviance_residuals_hook(zlmCond) but it is deprecated in R 4.0
Could you help me please? Kind regards, Sofía