Beta quantile function, mean-precision parametrization

Unlike qkuma(), this requires the numerical inversion built into stats::qbeta(): the beta distribution function has no closed form.

Usage

qbetamp(u, mu, phi)

Arguments

u

Numeric vector of probabilities in (0, 1).

mu

Numeric vector, the mean, in (0, 1).

phi

Numeric vector, the precision parameter, > 0.

Value

Numeric vector, F^{-1}(u).