powl("a", power = 2, short = FALSE, tag = TRUE)
powl(x <- 1:5)
powl(x, power = 2)
max(abs(powl(powl(x, power = 2), power = 2, inverse=TRUE) - x)) # Should be 0
powl(x <- (-5):5, power = 0.5) # Has NAs
# 1/2 = 0.5
pdata <- data.frame(y = rbeta(n = 1000, shape1 = 2^2, shape2 = 3^2))
fit <- vglm(y ~ 1, beta.ab(lshape1 = powl(power = 0.5), i1 = 3,
lshape2 = powl(power = 0.5), i2 = 7), pdata)
t(coef(fit, matrix = TRUE))
Coef(fit) # Useful for intercept-only models
vcov(fit, untransform = TRUE)
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