explogis function

Exponentiated logistic distribution

Exponentiated logistic distribution

Computes the pdf, cdf, value at risk and expected shortfall for the exponentiated logistic distribution given by [REMOVE_ME]\displaystylef(x)=(a/b)exp(x/b)[1+exp(x/b)]a1,\displaystyleF(x)=[1+exp(x/b)]a,VaRp(X)=blog[p1/a1],ESp(X)=bp0plog[v1/a1]dv[REMOVEME2] \begin{array}{ll}&\displaystylef (x) = (a/b) \exp (-x/b)\left[ 1 + \exp (-x/b) \right]^{-a - 1},\\&\displaystyleF (x) = \left[ 1 + \exp (-x/b) \right]^{-a},\\&\displaystyle{\rm VaR}_p (X) = -b \log \left[ p^{-1 / a} - 1 \right],\\&\displaystyle{\rm ES}_p (X) = -\frac {b}{p} \int_0^p \log \left[ v^{-1 / a} - 1 \right] dv\end{array} [REMOVE_ME_2]

for <x<-\infty < x < \infty, 0<p<10 < p < 1, a>0a > 0, the shape parameter, and b>0b > 0, the scale parameter.

Description

Computes the pdf, cdf, value at risk and expected shortfall for the exponentiated logistic distribution given by

\displaystylef(x)=(a/b)exp(x/b)[1+exp(x/b)]a1,\displaystyleF(x)=[1+exp(x/b)]a,VaRp(X)=blog[p1/a1],ESp(X)=bp0plog[v1/a1]dv \begin{array}{ll}&\displaystylef (x) = (a/b) \exp (-x/b)\left[ 1 + \exp (-x/b) \right]^{-a - 1},\\&\displaystyleF (x) = \left[ 1 + \exp (-x/b) \right]^{-a},\\&\displaystyle{\rm VaR}_p (X) = -b \log \left[ p^{-1 / a} - 1 \right],\\&\displaystyle{\rm ES}_p (X) = -\frac {b}{p} \int_0^p \log \left[ v^{-1 / a} - 1 \right] dv\end{array}

for <x<-\infty < x < \infty, 0<p<10 < p < 1, a>0a > 0, the shape parameter, and b>0b > 0, the scale parameter.

dexplogis(x, a=1, b=1, log=FALSE) pexplogis(x, a=1, b=1, log.p=FALSE, lower.tail=TRUE) varexplogis(p, a=1, b=1, log.p=FALSE, lower.tail=TRUE) esexplogis(p, a=1, b=1)

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
  • b: 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")

Author(s)

Saralees Nadarajah

Examples

x=runif(10,min=0,max=1) dexplogis(x) pexplogis(x) varexplogis(x) esexplogis(x)
  • Maintainer: Leo Belzile
  • License: GPL (>= 2)
  • Last published: 2023-04-22

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