I need to fit a beta-distribution a real data, with a mean of 0 and a standard deviation of 0.17.
I have read that this is possible by using the non-central beta distribution, and I would wlike to scale the standard beta distribution up with 0.33, so that the range is from 0 to 1.33. This new variable should then have a non-central beta distribution.
In R this would look like this:
rbeta(n, shape1, shape2, ncp = 0.33), but
shape2(beta) have to be generated from the mean and sd.
Has anyone worked this out in R?
Any help would be much appreciated.