# ReversalGumbel: The Reversal-Gumbel Distribution In powdist: Power and Reversal Power Distributions

## Description

Density, distribution function, quantile function and random generation for the Reversal-Gumbel distribution with parameters mu and sigma.

## Usage

 ```1 2 3 4 5 6 7``` ```drgumbel(x, mu = 0, sigma = 1, log = FALSE) prgumbel(q, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE) qrgumbel(p, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE) rrgumbel(n, mu = 0, sigma = 1) ```

## Arguments

 `x, q` vector of quantiles. `mu, sigma` location and scale parameters. `log, log.p` logical; if TRUE, probabilities p are given as log(p). `lower.tail` logical; if TRUE (default), probabilities are P[X ≤ x ], otherwise, P[X > x]. `p` vector of probabilities. `n` number of observations.

## Details

The reversal-Gumbel distribution has density

f(x)=exp(-(x-μ)/σ-exp(-(x-μ)/σ)),

where -∞<μ<∞ is the location paramether and σ^2>0 is the scale parameter.

## References

Anyosa, S. A. C. (2017) Binary regression using power and reversal power links. Master's thesis in Portuguese. Interinstitutional Graduate Program in Statistics. Universidade de São Paulo - Universidade Federal de São Carlos. Available in https://repositorio.ufscar.br/handle/ufscar/9016.

Bazán, J. L., Torres -Avilés, F., Suzuki, A. K. and Louzada, F. (2017) Power and reversal power links for binary regressions: An application for motor insurance policyholders. Applied Stochastic Models in Business and Industry, 33(1), 22-34.

## Examples

 ```1 2 3 4``` ```drgumbel(1, 3, 4) prgumbel(1, 3, 4) qrgumbel(0.2, 3, 4) rprgumbel(5, 3, 4) ```

powdist documentation built on May 1, 2019, 10:11 p.m.