VaRES (version 1.0.2)

logisexp: Logistic exponential distribution

Description

Computes the pdf, cdf, value at risk and expected shortfall for the logistic exponential distribution due to Lan and Leemis (2008) given by $$\begin{array}{ll} &\displaystyle f (x) = \frac {\displaystyle a \lambda \exp (\lambda x) \left[ \exp (\lambda x) - 1 \right]^{a - 1}} {\displaystyle \left\{ 1 + \left[ \exp (\lambda x) - 1 \right]^a \right\}^2}, \\ &\displaystyle F (x) = \frac {\displaystyle \left[ \exp (\lambda x) - 1 \right]^a} {\displaystyle 1 + \left[ \exp (\lambda x) - 1 \right]^a}, \\ &\displaystyle {\rm VaR}_p (X) = \frac {1}{\lambda} \log \left[ 1 + \left( \frac {p}{1 - p} \right)^{1 / a} \right], \\ &\displaystyle {\rm ES}_p (X) = \frac {1}{p \lambda} \int_0^p \log \left[ 1 + \left( \frac {v}{1 - v} \right)^{1 / a} \right] dv \end{array}$$ for \(x > 0\), \(0 < p < 1\), \(a > 0\), the shape parameter and \(\lambda > 0\), the scale parameter.

Usage

dlogisexp(x, lambda=1, a=1, log=FALSE)
plogisexp(x, lambda=1, a=1, log.p=FALSE, lower.tail=TRUE)
varlogisexp(p, lambda=1, a=1, log.p=FALSE, lower.tail=TRUE)
eslogisexp(p, lambda=1, a=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

lambda

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

x=runif(10,min=0,max=1)
dlogisexp(x)
plogisexp(x)
varlogisexp(x)
eslogisexp(x)