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lsda
2012 Mar 09
1
nonparametric densities for bounded distributions
Can anyone recommend a good nonparametric density approach for data bounded
(say between 0 and 1)?
For example, using the basic Gaussian density approach doesn't generate a
very realistic shape (nor should it):
> set.seed(1)
> dat <- rbeta(100, 1, 2)
> plot(density(dat))
(note the area outside of 0/1)
The data I have may be bimodal or have other odd properties (e.g. point
mass