16.9 Frechet Distribution

16.9.1 Probability Density Function

If \(\alpha \in \mathbb{R}^+\) and \(\sigma \in \mathbb{R}^+\), then for \(y \in \mathbb{R}^+\), \[ \text{Frechet}(y|\alpha,\sigma) = \frac{\alpha}{\sigma} \, \left( \frac{y}{\sigma} \right)^{-\alpha - 1} \, \exp \! \left( \! - \left( \frac{y}{\sigma} \right)^{-\alpha} \right) . \]

Note that if \(Y \propto \text{Frechet}(\alpha,\sigma)\), then \(Y^{-1} \propto \text{Weibull}(\alpha,\sigma^{-1})\).

16.9.2 Sampling Statement

y ~ frechet(alpha, sigma)

Increment target log probability density with frechet_lpdf( y | alpha, sigma) dropping constant additive terms.

16.9.3 Stan Functions

real frechet_lpdf(reals y | reals alpha, reals sigma)
The log of the Frechet density of y given shape alpha and scale sigma

real frechet_cdf(reals y, reals alpha, reals sigma)
The Frechet cumulative distribution function of y given shape alpha and scale sigma

real frechet_lcdf(reals y | reals alpha, reals sigma)
The log of the Frechet cumulative distribution function of y given shape alpha and scale sigma

real frechet_lccdf(reals y | reals alpha, reals sigma)
The log of the Frechet complementary cumulative distribution function of y given shape alpha and scale sigma

R frechet_rng(reals alpha, reals sigma)
Generate an Frechet variate with shape alpha and scale sigma; may only be used in generated quantities block. For a description of argument and return types, see section vectorized PRNG functions.