Computes the pdf, cdf, value at risk and expected shortfall for the logistic Rayleigh distribution due to Lan and Leemis (2008) given by [REMOVE_ME]\displaystylef(x)=aλxexp(λx2/2)[exp(λx2/2)−1]a−1{1+[exp(λx2/2)−1]a}−2,\displaystyleF(x)=1+[exp(λx2/2)−1]a[exp(λx2/2)−1]a,VaRp(X)=λ2log[1+(1−pp)1/a],ESp(X)=pλ2∫0p{log[1+(1−vv)1/a]}1/2dv[REMOVEME2]
for x>0, 0<p<1, a>0, the shape parameter, and λ>0, the scale parameter.
Description
Computes the pdf, cdf, value at risk and expected shortfall for the logistic Rayleigh distribution due to Lan and Leemis (2008) given by
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
Returns
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.
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")