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VaRES (version 1.0.2)

rgamma: Reflected gamma distribution

Description

Computes the pdf, cdf, value at risk and expected shortfall for the reflected gamma distribution due to Borgi (1965) given by $$\begin{array}{ll} &\displaystyle f (x) = \frac {1}{\displaystyle 2 \phi \Gamma \left( a \right)} \left | \frac {x - \theta}{\phi} \right |^{a - 1} \exp \left\{ -\left | \frac {x - \theta}{\phi} \right | \right\}, \\ &\displaystyle F (x) = \left\{ \begin{array}{ll} \displaystyle \frac {1}{2} Q \left( a, \frac {\theta - x}{\phi} \right), & \mbox{if $x \leq \theta$,} \\ \\ \displaystyle 1 - \frac {1}{2} Q \left( a, \frac {x - \theta}{\phi} \right), & \mbox{if $x > \theta$,} \end{array} \right. \\ &\displaystyle {\rm VaR}_p (X) = \left\{ \begin{array}{ll} \displaystyle \theta - \phi Q^{-1} \left( a, 2 p \right), & \mbox{if $p \leq 1/2$,} \\ \\ \displaystyle \theta + \phi Q^{-1} \left( a, 2 (1 - p) \right), & \mbox{if $p > 1/2$,} \end{array} \right. \\ &\displaystyle {\rm ES}_p (X) = \left\{ \begin{array}{ll} \displaystyle \theta - \frac {\phi}{p} \int_0^p Q^{-1} \left( a, 2 v \right) dv, & \mbox{if $p \leq 1/2$,} \\ \\ \displaystyle \theta - \frac {\phi}{p} \int_0^{1/2} Q^{-1} \left( a, 2 v \right) dv +\frac {\phi}{p} \int_{1/2}^p Q^{-1} \left( a, 2 (1 - v) \right) dv, & \mbox{if $p > 1/2$} \end{array} \right. \end{array}$$ for \(-\infty < x < \infty\), \(0 < p < 1\), \(-\infty < \theta < \infty\), the location parameter, \(\phi > 0\), the scale parameter, and \(a > 0\), the shape parameter.

Usage

drgamma(x, a=1, theta=0, phi=1, log=FALSE)
prgamma(x, a=1, theta=0, phi=1, log.p=FALSE, lower.tail=TRUE)
varrgamma(p, a=1, theta=0, phi=1, log.p=FALSE, lower.tail=TRUE)
esrgamma(p, a=1, theta=0, phi=1)

Value

An object of the same length as x, giving the pdf or cdf values computed at x or an object of the same length as p, giving the values at risk or expected shortfall computed at p.

Arguments

x

scaler or vector of values at which the pdf or cdf needs to be computed

p

scaler or vector of values at which the value at risk or expected shortfall needs to be computed

theta

the value of the location parameter, can take any real value, the default is zero

phi

the value of the scale parameter, must be positive, the default is 1

a

the value of the shape parameter, must be positive, the default is 1

log

if TRUE then log(pdf) are returned

log.p

if TRUE then log(cdf) are returned and quantiles are computed for exp(p)

lower.tail

if FALSE then 1-cdf are returned and quantiles are computed for 1-p

Author

Saralees Nadarajah

References

Stephen Chan, Saralees Nadarajah & Emmanuel Afuecheta (2016). An R Package for Value at Risk and Expected Shortfall, Communications in Statistics - Simulation and Computation, 45:9, 3416-3434, tools:::Rd_expr_doi("10.1080/03610918.2014.944658")

Examples

Run this code
x=runif(10,min=0,max=1)
drgamma(x)
prgamma(x)
varrgamma(x)
esrgamma(x)

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