Learn R Programming

smoothSurv (version 0.4)

extreme value: Density of the Extreme Value Distribution of a Minimum.

Description

Density function of the extreme value distribution of a minimum with location $\alpha$ and scale $\beta$ and the density of the standardized version (with zero mean and unit variance).

Usage

dextreme(x, alpha=0, beta=1)
dstextreme(x)

Arguments

x
Vector of quantiles.
alpha
Vector of location parameters.
beta
Vector of scale parameters.

Value

  • The value of the density.

Details

Extreme value distribution of a minimum with the location $\alpha$ and the scale $\beta$ has a density $$f(x) = \frac{1}{\beta}\exp\left[\frac{x-\alpha}{\beta}-\exp\left(\frac{x-\alpha}{\beta}\right)\right]$$ the mean equal to $\alpha - \beta\;e$, where $e$ is approximately $0.5772$ and the variance equal to $\beta^2\frac{\pi}{6}$. Its standardized version is obtained with $\alpha = \frac{\sqrt{6}}{\pi}\;e$ and $\beta = \frac{\sqrt{6}}{\pi}$

Examples

Run this code
dextreme(1, (sqrt(6)/pi)*0.5772, sqrt(6)/pi)
dstextreme(1)        ## approximately same result as on the previous row

Run the code above in your browser using DataLab