My apologies for the naive question. I have proportion data (lesion coverage per area) that is nested within regions and categorized by lesion type I planned to analyze with a beta model. However, given that I have 0s in the data I figured I would need to use zero-inflated beta. I then realized I had a couple of 1s in the data as well (7/655 observations). Therefore, would this mean I need to use a zero-one inflated beta model or would another option be preferable since the data set only has a small number of 1s? Could I transform the 1s so that I can use just a zero-inflated model?
If I went the zero-one inflated beta route, I am a bit confused on the syntax in that I am not sure of what sub models are required? Any help would be much appreciated.