I have continuous proportion data (i.e. ranges from 0 to 1). Or it could be percentage too if multiplied by 100. This is the proportion/percentage of overlap in home range between animals, therefore I do not have denominators or a case of #successes/#trials.
Can I analyze this using a binomial glm with logit link function? I cannot seem to get a clear answer on this on the web.
One method is to arcsine transform the percentage value and use it in a linear model but it seems there is much argument against this.
Also the data are extremely skewed to the right (almost looks like a classic Poisson distribution) with many zeros and some 1's too, which means I can't use a beta regression either.
What is the best method to analyse this? Any advice would help. I am an R user.