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library('mfx')
### Name: betaor
### Title: Odds ratios for a beta regression.
### Aliases: betaor print.betaor
### ** Examples
# simulate some data
set.seed(12345)
n = 1000
x = rnorm(n)
# beta outcome
y = rbeta(n, shape1 = plogis(1 + 0.5 * x), shape2 = (abs(0.2*x)))
# use Smithson and Verkuilen correction
y = (y*(n-1)+0.5)/n
data = data.frame(y,x)
betaor(y~x|x, data=data)
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