Symmetric uniform priors
I was wondering if it would be possible for someone to add a new sort of prior, that would allow for the relevant quantity, let's call it x, to be drawn from a uniform distribution that was symmetric with respect to x --> -x, i.e. uniform over the ranges
a < x < b and -b < x < -a
where a and b are positive constants. (This means there would be a probability of 0.5 that x is positive, and a probability of 0.5 that it is negative). This would mirror the already-implemented SymmetricLogUniform prior that Greg recently added.