Tail-adjusted Beta Probability Density Function

Tail-adjusted Beta Probability Density Function

dtab(x, mu, phi, delta, log = FALSE)

Arguments

x

vector of (non-negative) values.

mu

mean/s in (0, 1) for the beta distribution.

phi

dispersion parameter (positive) for the beta distribution.

delta

rounding parameter in (0, 0.5) for the tail adjustment.

log

logical; if TRUE, probabilities, p, are given as log(p).

Value

The (log) probability mass at x, given lambda and pi.