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Now that you support linear regression in base R, I was wondering if you could add the option to do logistic regression on a binary phenotype using a generalized linear model (glm function).
Implementing logistic regression (glm) looks like a very quick addition to your .fitGetPvalue function. I know that easier said than done with the scoping you have in your package, but I think it would add a lot to CNVRanger!
R
's ownlm
be used instead ofplink
(to avoid external dependencies)? Are results the same?VariantExperiment
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