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Three-parameter Dagum (Burr Type III) distribution with scale \(s\), first shape \(\alpha\) (shape1), and second shape \(\theta\) (shape2, the tail index). The distribution is supported on \(x > 0\) and, unlike the Burr XII, has a unimodal density with mode at the origin for certain parameter ranges. L-moments are computed via closed-form Beta-function PWMs; fitting uses L-BFGS-B minimisation seeded from the Dagum_InitValues lookup table with scale-free L-ratio matching and analytic scale derivation.

The probability density function is: $$f(x) = \frac{1}{s} \left(\frac{x}{s}\right)^{-1/\theta - 1} \left(1 + \frac{\theta}{\alpha}\left(\frac{x}{s}\right)^{-1/\theta}\right)^{-\alpha-1}, \quad x > 0$$ where:

  • \(s\) — scale parameter (scale)

  • \(\alpha\) — first shape parameter (shape1), controls upper-tail heaviness

  • \(\theta\) — second shape parameter (shape2), tail index; the mean exists only when \(\theta < 1\)

Usage

pdagum(q, scale, shape1, shape2, PW = 1)

ddagum(x, scale, shape1, shape2, PW = 1)

qdagum(p, scale, shape1, shape2, PW = 1)

rdagum(n, scale, shape1, shape2, PW = 1)

Arguments

scale

scale parameter.

shape1

first shape parameter.

shape2

second shape parameter.

PW

probability weight (point mass at zero for zero-inflated variants).

x, q

vector of quantiles.

p

vector of probabilities.

n

number of observations. If length(n) > 1, the length is taken as the number required.